Dissertations / Theses on the topic 'Internet industriel des objets'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Internet industriel des objets.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
Benouakta, Amina. "Conception de systèmes antennaires pour applications de supervision et de localisation dans l'Internet des objets industriel." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4011.
Full textThis thesis is part of the concept of the Internet of Things (IoT), object identification, and traceability in so-called complex environments through Ultra-Wide Band (UWB) technology known for its high temporal precision. The objective is to contribute to the advancement of real-time UWB-based localization systems through the design and optimization of UWB antennas that are reconfigurable, multi-standards, and multi-functions. Therefore, any localization system integrating the optimized antennas will have improved localization quality and new functionalities.The main contributions developed in this thesis involve enhancements to real-time localization systems (RTLS) based on UWB technology: design and fabrication of frequency reconfigurable UWB antennas; design and fabrication of a multi-standard localization electronic board (UWB and Long Range - LoRa); experimental study of RTLS systems incorporating the designed antennas and validation of the evolution of the localization in terms of extended reading ranges, detectability of objects without prior knowledge of their orientations, and improved location accuracy through the attenuation of multi-path signals
Brun-Laguna, Keoma. "Deterministic Networking for the Industrial IoT." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS157.
Full textThe Internet of Things (IoT) evolved from a connected toaster in 1990 to networks of hundreds of tiny devices used in industrial applications. Those “Things” usually are tiny electronic devices able to measure a physical value (temperature, humidity, etc.) and/or to actuate on the physical world (pump, valve, etc). Due to their cost and ease of deployment, battery-powered wireless IoT networks are rapidly being adopted. The promise of wireless communication is to offer wire-like connectivity. Major improvements have been made in that sense, but many challenges remain as industrial application have strong operational requirements. This section of the IoT application is called Industrial IoT (IIoT). The main IIoT requirement is reliability. Every bit of information that is transmitted in the network must not be lost. Current off-the-shelf solutions offer over 99.999% reliability. That is, for every 100k packets of information generated, less than one is lost. Then come latency and energy-efficiency requirements. As devices are battery-powered, they need to consume as little as possible to be able to operate during years. The next step for the IoT is to target time-critical applications. Industrial IoT technologies are now adopted by companies over the world, and are now a proven solution. Yet, challenges remain and some of the limits of the technologies are still not fully understood. In this work we address TSCH-based Wireless Sensor Networks and study their latency and lifetime limits under real-world conditions. We gathered 3M network statistics 32M sensor measurements on 11 datasets with a total of 170,037 mote hours in real-world and testbeds deployments. We assembled what we believed to be the largest dataset available to the networking community. Based on those datasets and on insights we learned from deploying networks in real-world conditions, we study the limits and trade-offs of TSCH-based Wireless Sensor Networks. We provide methods and tools to estimate the network performances of such networks in various scenarios. We believe we assembled the right tools for protocol designer to built deterministic networking to the Industrial IoT
Li, Dun. "Optimized blockchain deployment and application for trusted industrial internet of things." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS016.
Full textThe continued advancement of the Industrial Internet of Things (IIoT) presents promising prospects and numerous opportunities for improving the operational frameworks of industrial systems. However, IIoT architectures face significant challenges, including centralized control, vulnerability to cyber attacks, privacy violations, and data accuracy issues.These challenges create significant obstacles in securing data, which is crucial for the growth of this technology. To address these issues, many researchers suggest integrating blockchain technology as a stable means to safeguard data within IIoT systems.Blockchain's features of distributed storage, decentralization, and immutability offer distinct advantages in data secure storage, identity verification, and access control. Despite these benefits, as IIoT applications diversify and data scales expand, the high resource demand of blockchain systems clashes with the limited resources of IIoT devices, leading to unresolved contradictions and persistent issues within this solution. Existing blockchain architectures still lack anonymous and efficient IIoT identity authentication, with complex encryption and decryption processes inducing excessive system overhead. To address these issues, the thesis builds on prior research to optimize blockchain performance, aiming to resolve the shortcomings and bottlenecks in current blockchain-based IIoT architectures regarding data security protection. Firstly, this thesis introduces a lightweight blockchain-enabled protocol designed for secure data storage in the dynamic IIoT environment. It incorporates bilinear mapping for system initialization, entity registration, and authentication technology to authenticate IIoT entities efficiently and securely, along with an off-chain data storage approach to ensure data integrity with reduced resource consumption.Furthermore, the thesis addresses the limitations of Hyperledger fabric systems in high availability scenarios by proposing Trie-Fabric, which enhances transaction processing through a Directed Acyclic Graph (DAG) based transaction sorting algorithm. This approach significantly reduces terminated transactions, optimizes conflict handling, and increases efficiency by more than 60% in its best case, according to comparative experimental results.To manage the increasingly sophisticated industrial processes and privacy-sensitive data generated by IIoT devices, the thesis proposes a smart contract-assisted access control scheme utilizing the Attribute-Based Access Control (ABAC) model.This scheme, supported by bloom filter components, demonstrates controlled contract execution times, stable system throughput, and a rapid consensus process in real-world simulations, making it highly capable of handling high-throughput and effective consensus even under large-scale request scenarios.Lastly, the thesis introduces the Zero-Knowledge Proof (ZKP) algorithm, which integrates a non-interactive zero-knowledge proof protocol with Ciphertext-Policy Attribute-Based Encryption (CP-ABE) to enhance security and efficiency in IIoT content distribution. Combined with the Distributed Publish-Subscribe IIoT (DPS-IIoT) system using Hyperledger fabric, it significantly improves bandwidth efficiency and overall throughput in IIoT environments.Through comprehensive security performance evaluations and experimental results, this research confirms the protocols' effectiveness in minimizing system overhead, improving storage reliability, and enhancing overall IIoT data management and application security. This thesis provides an in-depth examination of advanced data management protocols and systems for the IIoT, which are crucial for advancing the manufacturing sector. Consequently, this work makes a significant contribution to the field of IIoT data security, offering scalable and robust solutions for current and future industrial systems
Vallois, Valentin. "Securing industrial internet of things architectures through Blockchain." Electronic Thesis or Diss., Université Paris Cité, 2022. http://www.theses.fr/2022UNIP7335.
Full textIt's been ten years since blockchain technology was created. This amalgam of cryptography and peer-to-peer application brings many innovations and securities services beyond financial services to regular information systems and offers new use cases for distributed applications in industrial context. Meanwhile, IoT became prominent in the industry as the future industrial revolution, bringing new applications but paving the way for security vulnerabilities. During this thesis, we explored the main issues facing the Internet of Things. We studied how IIoT platform providers address these challenges by comparing the measures they have implemented with the ITU recommendations using the Analytic Hierarchical Process (AHP). This study allowed us to identify areas of improvement and use cases for the blockchain. Identity management is a recurring problem in the IIoT literature, and we propose an identity management approach for distributed systems assisted by blockchain to guarantee the uniqueness of identities and the integrity of the directory. From this work, we have developed a blockchain-secured firmware update distribution and validation system using the machine learning algorithm Locality Sensitive Hashing (LSH)
Haj-Hassan, Ali. "Securing communication protocols for the Internet of Things." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. http://www.theses.fr/2024UPHF0002.
Full textThe fusion of IP-enabled networks with low-power wireless technology has given birth tothe Industrial Internet of Things (IIoT). Due the large scale and dynamic nature of IIoT, thesecurity of such network is of paramount importance. One of the most critical attacks arethose conducted during the joining phase of new nodes to an IIoT network. In this thesis, we focus our study on securing the joining phase of such networks.Joining phases in IoT rely on mutual authentication methods based on a pre-shared key (PSK) shared between the network coordinator and the joining node. Standardization often lacks clear PSK sharing guidelines, which in large-scale and dynamic networks like IIoT makes pre-configuring each device with a unique key impractical. To address these concerns, this thesis introduces an autonomous mutual authentication and key establishment protocol for IIoT networks. In this solution, the network coordinator first authenticates the joining node via a certificate, and reciprocally, the joining node authenticates the network coordinator using a novel and lightweight consensus mechanism based on Shamir Secret Sharing. Once this mutual authentication is accomplished, a key is established between the network coordinator and the joining node over a public channel. Our solution was integrated into the 6TiSCH framework, ensuring robust security with high authentication success, even when dealing with malicious nodes. Additionally, it proved efficient in terms of communication, latency, and energy usage across various network scenarios, even on resource-constrained devices.Moreover, during the IoT network joining process, proxy nodes play a pivotal role in forwarding Join Requests and Join Responses between the joining node and the network coordinator. Securing this phase is vital, as malicious proxy nodes can disturb new node joins or redirect them another entity impersonating the coordinator. Therefore, we present a robust system focused on identifying malicious proxy nodes during the joining phase. Centered around the coordinator, this system maintains a log table tracking each node’s participation as a proxy node. Post each joining phase, the coordinator receives an End-to-End encrypted packet from the joining node, detailing any encounters with malicious proxy nodes. This information is utilized to calculate the number of legitimate proxy node involvements for each node. The detection system utilizes these metrics, in conjunction with adjustable parameters, to categorize nodes as either malicious or trustworthy. Additionally, our solution accounts for potential attacks on the detection process, originating from both proxy nodes and joining nodes
Amaro, da Cruz Mauro. "An enhanced multi-protocol middleware solution for Internet of things." Thesis, Mulhouse, 2021. https://www.learning-center.uha.fr/.
Full textIn Internet of Things (IoT), data is handled and stored by software known as middleware (located on a server). The evolution of the IoT concept led to the construction of many IoT middleware, software that plays a key role since it supports the communication among devices, users, and applications. Several aspects can impact the performance of a middleware. Based in a deep review of the related literature and in the proposal of a Reference Model for IoT middleware, this thesis proposes a new IoT middleware, called In.IoT, a scalable, secure, and innovative middleware solution based on a deep review of the state of the art and following the reference middleware architecture that was proposed along with this research work. In.IoT addresses the middleware concerns of the most popular solutions (security, usability, and performance) that were evaluated, demonstrated, and validated along this study, and it is ready and available for use. In.IoT architectural recommendations and requirements are detailed and can be replicated by new and available solutions. It supports the most popular application-layer protocols (MQTT, CoAP, and HTTP). Its performance is evaluated in comparison with the most promising solutions available in the literature and the results obtained by the proposed solution are extremely promising. Furthermore, this thesis studies the impact of the underlying programming language in the solution's overall performance through a performance evaluation study that included Java, Python, and Javascript, identifying that globally, Java demonstrates to be the most robust choice for IoT middleware. IoT devices communicate with the middleware through an application layer protocol that may differ from those supported by the middleware, especially when it is considered that households will have various devices from different brands. The thesis offers an alternative for such cases, proposing an application layer gateway, called MiddleBridge. MiddleBridge translates CoAP, MQTT, DDS, and Websockets messages into HTTP (HTTP is supported by most IoT middleware). With MiddleBridge, devices can send a smaller message to an intermediary (MiddleBridge), which restructures it and forwards it to a middleware, reducing the time that a device spends transmitting. The proposed solutions were evaluated in comparison with other similar solutions available in the literature, considering the metrics related to packet size, response times, requests per second, and error percentage, demonstrating their better results and tremendous potential. Furthermore, the study used XGBoost (a machine learning technique) to detect the occurrence of replication attacks where an attacker obtains device credentials, using it to generate false data and disturb the IoT environment. The obtained results are extremely promising. Thus, it is concluded that the proposed approach contributes towards the state of the art of IoT middleware solutions
Smache, Meriem. "La sécurité des réseaux déterministes de l’Internet des objets industriels (IIoT)." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEM033.
Full textTime synchronization is a crucial requirement for the IEEE802.15.4e based Industrial Internet of Things (IIoT). It is provided by the application of the Time-Slotted Channel-Hopping (TSCH) mode of the IEEE802.15.4e. TSCH synchronization allows reaching low-power and high-reliability wireless networking. However, TSCH synchronization resources are an evident target for cyber-attacks. They can be manipulated by attackers to paralyze the whole network communications. In this thesis, we aim to provide a vulnerability analysis of the TSCH asset synchronization. We propose novel detection metrics based on the internal process of the TSCH state machine of every node without requiring any additional communications or capture or analysis of the packet traces. Then, we design and implement novel self-detection and self-defence techniques embedded in every node to take into account the intelligence and learning ability of the attacker, the legitimate node and the real-time industrial network interactions. The experiment results show that the proposed mechanisms can protect against synchronization attacks
Thubert, Pascal. "Converging over deterministic networks for an Industrial Internet." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0011/document.
Full textBased on time, resource reservation, and policy enforcement by distributed shapers, Deterministic Networking provides the capability to carry specified unicast or multicast data streams for real-time applications with extremely low data loss rates and bounded latency, so as to support time-sensitive and mission-critical applications on a converged enterprise infrastructure.As of today, deterministic Operational Technology (OT) networks are purpose-built, mostly proprietary, typically using serial point-to-point wires, and operated as physically separate networks, which multiplies the complexity of the physical layout and the operational (OPEX) and capital (CAPEX) expenditures, while preventing the agile reuse of the compute and network resources.Bringing determinism in Information Technology (IT) networks will enable the emulation of those legacy serial wires over IT fabrics and the convergence of mission-specific OT networks onto IP. The IT/OT convergence onto Deterministic Networks will in turn enable new process optimization by introducing IT capabilities, such as the Big Data and the network functions virtualization (NFV), improving OT processes while further reducing the associated OPEX.Deterministic Networking Solutions and application use-cases require capabilities of the converged network that is beyond existing QOS mechanisms.Key attributes of Deterministic Networking are: - Time synchronization on all the nodes, often including source and destination - The centralized computation of network-wide deterministic paths - New traffic shapers within and at the edge to protect the network- Hardware for scheduled access to the media.Through multiple papers, standard contribution and Intellectual Property publication, the presented work pushes the limits of wireless industrial standards by providing: 1. Complex Track computation based on a novel ARC technology 2. Complex Track signaling and traceability, extending the IETF BIER-TE technology 3. Replication, Retry and Duplicate Elimination along the Track 4. Scheduled runtime enabling highly reliable delivery within bounded time 5. Mix of IPv6 best effort traffic and deterministic flows within a shared 6TiSCH mesh structureThis manuscript presents enhancements to existing low power wireless networks (LoWPAN) such as Zigbee, WirelessHART¿and ISA100.11a to provide those new benefits to wireless OT networks. It was implemented on open-source software and hardware, and evaluated against classical IEEE Std. 802.15.4 and 802.15.4 TSCH radio meshes. This manuscript presents and discusses the experimental results; the experiments show that the proposed technology can guarantee continuous high levels of timely delivery in the face of adverse events such as device loss and transient radio link down
Hossayni, Hicham. "Enabling industrial maintenance knowledge sharing by using knowledge graphs." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS017.
Full textFormerly considered as part of general enterprise costs, industrial maintenance has become critical for business continuity and a real source of data. Despite the heavy investments made by companies in smart manufacturing, traditional maintenance practices still dominate the industrial landscape. In this Ph.D., we investigate maintenance knowledge sharing as a potential solution that can invert the trend and enhance the maintenance activity to comply with the Industry 4.0 spirit. We specifically consider the knowledge graphs as an enabler to share the maintenance knowledge among the different industry players.In the first contribution of this thesis, we conducted a field study through a campaign of interviews with different experts with different profiles and from different industry domains. This allowed us to test the hypothesis of improving the maintenance activity via knowledge sharing which is quite a novel concept in many industries. The results of this activity clearly show a real interest in our approach and reveal the different requirements and challenges that need to be addressed.The second contribution is the concept, design, and prototype of "SemKoRe" which is a vendor-agnostic solution relying on Semantic Web technologies to share the maintenance knowledge. It gathers all machine failure-related data in the knowledge graph and shares it among all connected customers to easily solve future failures of the same type. A flexible architecture was proposed to cover the varied needs of the different customers. SemKoRe received approval of several Schneider clients located in several countries and from various segments.In the third contribution, we designed and implemented a novel solution for the automatic detection of sensitive data in maintenance reports. In fact, maintenance reports may contain some confidential data that can compromise or negatively impact the company's activity if revealed. This feature came up as the make or break point for SemKoRe for the interviewed domain experts. It allows avoiding sensitive data disclosure during the knowledge-sharing activity. In this contribution, we relied on semantic web and natural language processing techniques to develop custom models for sensitive data detection. The construction and training of such models require a considerable amount of data. Therefore, we implemented several services for collaborative data collection, text annotation, and corpus construction. Also, an architecture and a simplified workflow were proposed for the generation and deployment of customizable sensitive data detection models on edge gateways.In addition to these contributions, we worked on different peripheral features with a strong value for the SemKoRe project, and that has resulted in different patents. For instance, we prototyped and patented a novel method to query time series data using semantic criteria. It combines the use of ontologies and time-series databases to offer a useful set of querying capabilities even on resource-constrained edge gateways. We also designed a novel tool that helps software developers to easily interact with knowledge graphs with little or no knowledge of semantic web technologies. This solution has been patented and turns out to be useful for other ontology-based projects
Basselot, Vivien. "Contribution à la modélisation des chaînes informationnelles et des processus décisionnels associés à un produit "intelligent" : application à un connecteur de test industriel." Thesis, Valenciennes, Université Polytechnique Hauts-de-France, 2019. http://www.theses.fr/2019UPHF0009.
Full textIn recent years, “smart products” have been introduced in many areas such as industry, health and transportation systems. These products are sources of information during their use phases. Collecting, processing this information is a definite advantage to aid the various stakeholders involved in the product lifecycle to improve the value chain. The large number of stakeholders and the diversity of their needs make it difficult to implement the information chains between the product and the stakeholders in the use phase (as well as the generation of information flows towards the upstream and downstream phases of the life cycle). Based on the concepts developed by the Closed Loop Lifecycle Management (CL2M) community, this thesis proposes a model of generic architecture for modeling the information chains and decision-making processes associated with a product during its use phase. The proposed model relies on secondary functions associated with the product, on holonic concepts, on product context (i.e. environment, task and user(s)) and on decision-making processes. This last point is inspired on Rasmussen's typology to characterize different cognitive levels. A methodological guide is also proposed helping to transform the model into operational architecture implementing information chains. The proposed architecture is implemented and validated as part of a POC (Proof of Concept) platform. Both the model and the guide are evaluated through scenarios representative of the use of a "smart" industrial test connector in the automotive field
Lagos, Jenschke Tomas. "Toward reliable and bounded latency for internet of things." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0222.
Full textThe Low Power and Lossy Network (LLN) are wireless Internet of Things (IoT) technologies that operate with limited processing power, memory, or power. Furthermore, they have links characterized by high loss rates. However, due to their low cost and easy handling, they have become popular in the industry 4.0. Therefore, for these technologies to be incorporated into the industry, they need to ensure reliable, fast, and stable transmission. The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is a distance vector routing protocol specialized in these IoT applications. Its adaptability has made it one of the most popular protocols for LLNs. However,its one-way upstream transmission is not sufficient to guarantee transmission reliability. This has resulted in a challenge to the industry and different functions and strategies have been proposed to address this problem. Unfortunately, many of these strategies cannot be replicated for different environments and require trade-offs in other areas. In this thesis,our goal is to provide a customized RPL so that it can ensure transmission reliability while maintaining a low delay and fluctuation. For this purpose, we propose different functions and algorithms that allow the extension of multi-path in RPL
Mousa, Saeed. "Industrie 4.0 et servitisation de l'industrie : une exploration des secteurs de l'automobile, de l'aviation et de la santé." Thesis, Université de Lille (2022-....), 2022. http://www.theses.fr/2022ULILA006.
Full textThe concepts of servitization and Industry 4.0 in the manufacturing sector play an important role in enhancing performance outcomes. While there is literature addressing the concepts of servitization and Industry 4.0 as complementary, there is a considerable lack of evidence in the outcomes of their interaction. The present research is based on building a new framework to investigate the relation between Industry 4.0 and servitization in the manufacturing sector, and how the applications of Industry 4.0 impact the servitization. With insights from 30 industry experts from different sectors, the research applied the qualitative approach to establish the impacts of Industry 4.0 base technologies in view to the customer service, partnerships, product developments, and challenges. The research findings revealed that Industry 4.0 technologies such as IoT, Big data and Analytics, and Blockchain contribute to the transformation of manufacturing sectors from a product orientation to a product-service system (PSS). The results indicate that the application of Industry 4.0 technologies support the servitization process to create a positive relationship with customers and better customer services as well as improve performance outcomes among the manufacturers. Nonetheless, the inadequate integration of Industry 4.0 technologies has been revealed to contribute to poor collaboration between partners in the industry and deteriorating competitiveness within the firm. Also, findings found that using Industry 4.0 applications in servitization of the manufacturers lead to have better and improved product. The findings in this research can be valuable to future research on servitization and practitioners to inform decisions regarding the adoption of Industry 4.0 technologies
Mouawad, Mina Rady Abdelshahid. "Agile Multi-PHY Wireless Networking." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS462.
Full textThis thesis contributes to the emerging field of agile multi-PHY wireless networking. Industrial wireless networks have relied on a single physical layer for their operation. One example is the standardized IETF 6TiSCH protocol stack for industrial wireless networking, which uses IEEE~802.15.4 O-QPSK radio in the 2.4~GHz band as its physical layer. Advances in radio chip manufacturing have resulted in chips that support a diverse set of long range and short range PHYs. We use the term "PHY'' to refer to any combination of: modulation, frequency band, and coding scheme. In this research, we argue that combining long-range and short-range PHYs can offer balanced network end-to-end performance that no single PHY achieves. We demonstrate how a set of short-range and long-range PHYs can be integrated under one generalized 6TiSCH ("g6TiSCH'') architecture and we evaluate its performance experimentally in a testbed of 36~motes at Inria-Paris. We further demonstrate, experimentally, how a TSCH slotframe can adapt the slot duration on a slot-by-slot basis, as a function of the bitrate of the used PHY ("6DYN''). Finally, we design and evaluate, through simulation, an objective function for RPL that optimizes for network lifetime ("Life-OF''). We demonstrate how Life-OF combines diverse PHYs to boost network lifetime to be up to 470% compared to the IETF standard MRHOF
Muñoz, Soto Jonathan Mauricio. "Km-scale Industrial Networking." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS252.
Full textThe Internet of Things (IoT) aims to provide connectivity to millions of devices used in our day-to-day life. For the vast majority of applications, wired connections are unpractical and too expensive, therefore wireless connections is the only feasible way to provide connectivity to the devices. One of many wireless solutions is the standard IEEE802.15.4, specially designed for low power mesh networks. This standard is widely used for Smart Building, Home Automation and Industrial Applications.A subsequent amendment, the IEEE802.15.4g, defines 3 PHYs (FSK, OFDM and O-QPSK). This targets Smart Utility Networks(SUN) applications, i.e., Smart Metering, while providing extended coverage. In this thesis, we analyse the use of this standard outside the SUN environment and onto Industrial Networking applications.First, we conduct a series of experiments using IEEE802.15.4g compliant devices in order to measure the range coverage on radio links in real use case outdoor scenarios. Results show that highly reliable communications with data rates up to 800 kbps (with OFDM) can be achieved in urban environments at 540 m between nodes, and the longest useful radio link is obtained at 779 m (FSK). Sencond, regarding the robustness and high data rate of OFDM, we compare the performance of the IEEE802.15.4 with the IEEE802.15.4g OFDM in Smart Building scenarios. From experiments, we determine that IEEE802.15.4g OFDM outperforms IEEE802.15.4 and should be considered as a solution for further deployments in combination with a TSCH MAC approach. Finally, we introduce the concept of Network Agility: nodes that can dynamically change their PHY according to their needs and circumstances
Compaore, Wendpuire Ousmane. "Aide à la décision pour le diagnostic des défauts pour une maintenance proactive dans un générateur photovoltaïque." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR095.
Full textThe loss of power of a photovoltaic generator (PVG) is undoubtedly due to the appearance of a certain number of anomalies linked to manufacturing, production or the environment and causing failures in its proper functioning. From a realistic model, quite close to real operation and able to take into account the avalanche effect of a PN junction transmitted to the entire PVG, we have sufficiently shown the loss of performance of a PV generator and the need to have a diagnostic method for maintenance assistance in order not to suffer the effects of faults.Two diagnostic methods were applied to this PVG, one relating to the detection and localization of sensor faults, and the other to the detection and localization of system faults. The particular choice of these two diagnostic techniques, which do not target the same types of faults, lies in the complex nature of the model of the industrial process subjected to study. The performances obtained with the analytical redundancy relations (ARR), method based on the principle of parity space applied to the maximum operating point are very relevant. Using the artificial intelligence (AI), method based on the principle of artificial neural networks (ANN), we experimented with two classification methods for the detection and diagnosis of system faults. If detectability is proven with our different configurations without the possibility of locating the origin and the cause in the first part of the classification, we arrive thanks to a bundle of clues to locate the origin or the cause thanks to the classification for the diagnostic.The production of two real-time acquisition prototypes is based on the principle of the Industrial Internet of Things (IIoT). The first only allows the acquisition and saving of data on an SD card. The second, and more advanced prototype, allows real-time transmission via WiFi to a web server and aims to create a real-time monitoring platform in the long term. Both prototypes produce data that is used to power both diagnostic methods. The results obtained with real data are compatible with those obtained in the simulation phase. The conclusions of this diagnosis will enable greater efficiency in proactive maintenance operations
Zoubeirou, A. Mayaki Mansour. "Méthodes d'apprentissage profond pour la détection d'anomalies et de changement de régimes : application à la maintenance prédictive dans des systèmes embarqués." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4010.
Full textIn the context of Industry 4.0 and the Internet of Things (IoT), predictive maintenance has become vital for optimizing the performance and lifespan of electronic devices and equipment. This approach, reliant on extensive data analysis, stands on two pillars: anomaly detection and drift detection. Anomaly detection plays a crucial role in identifying deviations from established norms, thereby flagging potential issues such as equipment malfunctions.Drift detection, on the other hand, monitors changes in data distributions over time. It addresses "concept drift" to ensure the continued relevance of predictive models in evolving industrial systems. This thesis highlights the synergistic relationship between these two techniques, demonstrating their collective impact in proactive maintenance strategies. We address various challenges in predictive maintenance such as data quality, labeling, complexities of industrial systems, the nuances of drift detection and the demands of real-time processing. A significant part of this research will focus on how to adapt and use these techniques in the context of embedded systems. The significance of this work extends to cost savings, environmental impact reduction and aligning with the advancements in Industry 4.0, positioning predictive maintenance as a key component in the new era of industrial efficiency and sustainability.This study introduces novel methods employing statistical and machine learning techniques, validated in various industrial settings like modern manufacturing plants. These methods, both theoretical and applied, effectively address the challenges of predictive maintenance
Vancaelemont, Anne. "Matérialité et travail institutionnel des consommateurs. Le cas de l'industrie de la musique enregistrée face à la "dématérialisation" (1994-2014)." Thesis, Paris Sciences et Lettres (ComUE), 2016. http://www.theses.fr/2016PSLED039/document.
Full textConsumers are most of the time left at the margins of neo-institutional theory. Yet, the institutional work concept makes it possible to consider consumer practices aimed at maintaining or disrupting formerly institutionalized practices or at creating new ones. Furthermore, taking into account the practices material dimension allows us to consider how objects play a role in consumer institutional work processes. The case of the French recorded music industry from 1994 to 2014 - when MP3 downloading then streaming overcame CD consumption practices - is studied with a grounded theory inductive approach. Our dissertation shows that consumers collaborate in order to perform institutional work (maintaining, disrupting and creating institutionalized practices). To disrupt institutionalized practices, they use « bricolage » to assemble available practices and objects, among themcommunity-objects that play a specific role: sharing information and objects. Moreover, material resilience, not only contributes to practice maintenance but also to disruption and new practices institutionalization
Lemoine, Frédéric. "Internet des Objets centré service autocontrôlé." Thesis, Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1235/document.
Full textIn the digital era, the number of connected objects continues to grow and diversify. To support this increasing complexity, we wanted to bring a maximum of automatisms to the Internet of Things in order to guarantee end-to-end quality of service (QoS). To do this, a self-controlled service component is proposed to integrate the object into the digital ecosystem. Thanks to the calibration of each service, which makes it possible to know the behaviour, an automated composition becomes possible. We have illustrated the feasibility of our approach on a case study. We also have shown how connected objects can assemble themselves, cooperating to achieve a common objective, while meeting global QoS requirements
Lemoine, Frédéric. "Internet des Objets centré service autocontrôlé." Electronic Thesis or Diss., Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1235.
Full textIn the digital era, the number of connected objects continues to grow and diversify. To support this increasing complexity, we wanted to bring a maximum of automatisms to the Internet of Things in order to guarantee end-to-end quality of service (QoS). To do this, a self-controlled service component is proposed to integrate the object into the digital ecosystem. Thanks to the calibration of each service, which makes it possible to know the behaviour, an automated composition becomes possible. We have illustrated the feasibility of our approach on a case study. We also have shown how connected objects can assemble themselves, cooperating to achieve a common objective, while meeting global QoS requirements
Chabot, Martial. "Tests automatisés dirigés par les exigences pour systèmes cyber-physiques." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM056/document.
Full textNowadays, many major manufacturers in different fields are working towards the design of smart products to meet new market needs. The design of these systems is increasingly complex, as they are composed of many physical components controlled by applications running on processors. In order to support this multi-disciplinary design, the solution we propose in this thesis is to guide the system modeling and design by taking into account the test scenarios that will be used to validate its requirements. The method that we propose suggests reasoning at the system level and starting the design process by formalizing validation tests. In other words, it amounts to specifying the acceptance criterion(s) for the requirement as well as the test scenario necessary to verify it. Formalizing the tests in this way makes it possible to analyze the formulation of the requirements themselves and to remove any ambiguity. We propose a generic model of the structural view of the test infrastructure, and an associated UML profile. The behavioral view is modeled as SysML sequence diagrams. The test infrastructure interfaces provide testability constraints for the system to be designed. We have developed a tool, ARES (Automatic GeneRation of Executable Tests from SysML), which automatically transforms this structural/behavioral specification of the tests into simulatable or executable scenarios. These scenarios, analogous by construction, will be used to validate simulatable models of the system (Matlab/Simulink), then during the process of final verification of the product (with a TestStand environment). We present the application of this tool on various case studies associated with Schneider Electric products
Gyrard, Amélie. "Concevoir des applications internet des objets sémantiques." Thesis, Paris, ENST, 2015. http://www.theses.fr/2015ENST0018/document.
Full textAccording to Cisco's predictions, there will be more than 50 billions of devices connected to the Internet by 2020.The devices and produced data are mainly exploited to build domain-specific Internet of Things (IoT) applications. From a data-centric perspective, these applications are not interoperable with each other.To assist users or even machines in building promising inter-domain IoT applications, main challenges are to exploit, reuse, interpret and combine sensor data.To overcome interoperability issues, we designed the Machine-to-Machine Measurement (M3) framework consisting in:(1) generating templates to easily build Semantic Web of Things applications, (2) semantically annotating IoT data to infer high-level knowledge by reusing as much as possible the domain knowledge expertise, and (3) a semantic-based security application to assist users in designing secure IoT applications.Regarding the reasoning part, stemming from the 'Linked Open Data', we propose an innovative idea called the 'Linked Open Rules' to easily share and reuse rules to infer high-level abstractions from sensor data.The M3 framework has been suggested to standardizations and working groups such as ETSI M2M, oneM2M, W3C SSN ontology and W3C Web of Things. Proof-of-concepts of the flexible M3 framework have been developed on the cloud (http://www.sensormeasurement.appspot.com/) and embedded on Android-based constrained devices
Gyrard, Amélie. "Concevoir des applications internet des objets sémantiques." Electronic Thesis or Diss., Paris, ENST, 2015. http://www.theses.fr/2015ENST0018.
Full textAccording to Cisco's predictions, there will be more than 50 billions of devices connected to the Internet by 2020.The devices and produced data are mainly exploited to build domain-specific Internet of Things (IoT) applications. From a data-centric perspective, these applications are not interoperable with each other.To assist users or even machines in building promising inter-domain IoT applications, main challenges are to exploit, reuse, interpret and combine sensor data.To overcome interoperability issues, we designed the Machine-to-Machine Measurement (M3) framework consisting in:(1) generating templates to easily build Semantic Web of Things applications, (2) semantically annotating IoT data to infer high-level knowledge by reusing as much as possible the domain knowledge expertise, and (3) a semantic-based security application to assist users in designing secure IoT applications.Regarding the reasoning part, stemming from the 'Linked Open Data', we propose an innovative idea called the 'Linked Open Rules' to easily share and reuse rules to infer high-level abstractions from sensor data.The M3 framework has been suggested to standardizations and working groups such as ETSI M2M, oneM2M, W3C SSN ontology and W3C Web of Things. Proof-of-concepts of the flexible M3 framework have been developed on the cloud (http://www.sensormeasurement.appspot.com/) and embedded on Android-based constrained devices
Bondu, Mathilde. "Ethique et objets connectés." Master's thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/67170.
Full textCe projet de recherche porte sur l’opportunité de l’éthique comme mode de régulation des objets connectés. Actuellement au cœur d’une véritable course à l’innovation se faisant de plus en plus pressante, nous relèverons qu’il s’agit de biens complexes rendant difficile leur appréhension par le droit. Ce sujet se focalisera ensuite sur le cadre juridique applicable à cette technologie au regard des données personnelles récoltées de manière massives pour pouvoir enrichir et assurer le fonctionnement de ces objets. Démontrant certaines limites de ce régime légal au regard du poids de l’économie de la donnée, l’éthique sera étudiée de manière théorique dans le contexte du numérique comme outil de régulation, y compris son utilité mais aussi son inévitable manipulation par les acteurs du numérique. Ce projet aura pour objectif enfin de dresser un bilan concret des initiatives véritablement destinées à assurer une meilleure régulation des objets connectés par l’éthique, finalement débitrice d’une forte collaboration entre les trois acteurs principaux du numérique : pouvoirs publics, entreprises et citoyens.
Cichy, Bernard. "Recherches autour de l'objet artisanal et de l'objet industriel." Bordeaux 3, 2007. http://www.theses.fr/2007BOR30036.
Full textThe point is to show that we have moved from a consumerist society of the famous “thirty glorious years” (in the occidental area), to a type of neo-consumerist or post-consumerist society of the last thirty years through the materialization and the production of craft and industrial objects. While showing the different realities of these states through art, craft and design, I will show the birth of new concepts, new human behaviours, new or fake mythologies linked to the object. The objects stemmend from an industrial and still artisanal society oscillates between these two fabrication modes while it’s purpose value, refracted and absorbed by the consumer – actor, models new attitudes and shapes a new society, this time open. The core of the thesis will try to prove the asserted illusion of a society centered on industrial object to the detriment of a craft object, through the perceptible instalment, juxtaposition of system of thoughts, fabrication and creation leaving freedom between craft and industry. So, we will try to put forward the building of creation an “artisanial” or industrianal” objectology, purely obvious barbarism, to give an account of the ground realities and the multiple sides of creation applied to object. We will eventually understand the process or conception and fabrication methods in order to recenter our main reflection on the validity of an understanding between two worlds. On the one hand, that of industry and on the other hand, that of craft which overlap, penetrate, interfere with each other. It is with envy and respect that these two universe observe and borrow each other certain representation and fabrication codes, certain values through the subtle game of exchanges and compromises inside an economic system of our contemporanean societies and worlds
Noblet, Jocelyn de. "Les Langages de la culture matérielle : évolution comparée de la forme des objets produits industriellement." Paris 8, 1993. http://www.theses.fr/1993PA080737.
Full textThe aim of this thesis is to show that all man-made objects are endowed with a symbolic value of meaningful signifiance. When objects have been designed and produced, all their inherent contradictions have been revolved and they can be situated in their proper context, providing the keys to decode this contex are available. After analysing the origins of materail culture, the thesis seeks to define the implicit rules regulating the complex interactions between the technical and sybollic constraints. Which are the two essential ingrediants in the design of all products. A comparative analysis of material culture in the twenties (1919-1929) and the seventies eighties (1973-1990) highlihts the relationship between a civilization's dominant ideology and the objects it produces
Kherbache, Mehdi. "Toward Optimized 802.15.4 Industrial Wireless Networks : Harnessing Machine Learning and Digital Twins." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0253.
Full textThe Industrial Internet of Things (IIoT) presents a complex landscape with numerous constraints, particularly due to their use to control critical applications in Industry 4.0. The requirements in such a context in terms of energy efficiency and quality of service (delay, reliability, determinism and robustness) are strict and of paramount importance. Consequently, there is a pressing need for sophisticated management mechanisms throughout their entire lifecycle to meet these needs. This thesis explores two technological fronts to address this challenge: Reinforcement Learning-based Time Slotted Channel Hopping (TSCH) scheduling and Network Digital Twin (NDT). TSCH scheduling in IIoT, is identified as a crucial area to optimize the performance of these networks. Several works proposed Reinforcement Learning-based scheduling techniques for TDMA (Time Division Multiple Access ) MAC protocols, and particularly for TSCH. However, using this approach in a constrained network like the IIoT carries the risk of elevated energy consumption. This is due to the continuous learning process and coordination among the nodes necessary to manage the non-stationarity issue in the network, which is viewed as a Multi-Agent System. This thesis introduces a novel Reinforcement Learning-based distributed scheduling algorithm, QL-TSCH-plus. This algorithm has been designed to be adaptive and efficient, with reduced energy consumption and delay targets inherent to IIoT environments. Parallel to the development of TSCH scheduling, this thesis adopts the concept of NDT as a viable solution for effective IIoT management. Digital twins have been increasingly used to optimize the performances of industrial systems. Capitalizing on this technology, a holistic NDT architecture for the IIoT is proposed, where the network is integrated with other industrial components. The architecture leverages Software Defined Networking to enable closed-loop network management across the entire network life-cycle (from design to service). This architecture enables quick validation of networking solutions in an industrial environment because of the continuous link between the NDT and the physical IIoT network. Moreover, we propose to model the IIoT in the NDT using Petri-nets, enabling data-driven Petri-nets. These serve as coarse-grained formal models enabling fast simulation time for what-if scenarios execution, and real-time fault detection that is crucial in mission-critical industrial applications
Hammi, Mohamed Tahar. "Sécurisation de l'Internet des objets." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLT006.
Full textInternet of Things becomes a part of our everyday lives. Billions of smart and autonomous things around the world are connected and communicate with each other. This revolutionary paradigm creates a new dimension that removes boundaries between the real and the virtual worlds. Its success is due to the evolution of hardware and communication technologies, especially wireless ones. IoT is the result of the development and combination of different technologies. Today, it covers almost all areas of information technology (IT).Wireless sensor networks are a cornerstone of IoT's success. Using constrained things, industrial, medical, agricultural, and other environments can be automatically covered and managed.Things can communicate, analyze, process and manage data without any human intervention. However, security issues prevent the rapid evolution and deployment of this high technology. Identity usurpation, information theft, and data modification represent a real danger for this system of systems.The subject of my thesis is the creation of a security system that provides services for the authentication of connected things, the integrity of their exchanged data and the confidentiality of information. This approach must take into account the things and communication technologies constraints
Hammi, Mohamed Tahar. "Sécurisation de l'Internet des objets." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLT006/document.
Full textInternet of Things becomes a part of our everyday lives. Billions of smart and autonomous things around the world are connected and communicate with each other. This revolutionary paradigm creates a new dimension that removes boundaries between the real and the virtual worlds. Its success is due to the evolution of hardware and communication technologies, especially wireless ones. IoT is the result of the development and combination of different technologies. Today, it covers almost all areas of information technology (IT).Wireless sensor networks are a cornerstone of IoT's success. Using constrained things, industrial, medical, agricultural, and other environments can be automatically covered and managed.Things can communicate, analyze, process and manage data without any human intervention. However, security issues prevent the rapid evolution and deployment of this high technology. Identity usurpation, information theft, and data modification represent a real danger for this system of systems.The subject of my thesis is the creation of a security system that provides services for the authentication of connected things, the integrity of their exchanged data and the confidentiality of information. This approach must take into account the things and communication technologies constraints
Aïssaoui, François. "Autonomic Approach based on Semantics and Checkpointing for IoT System Management." Thesis, Toulouse 1, 2018. http://www.theses.fr/2018TOU10061/document.
Full textCiortea, Andrei-Nicolae. "Tisser le Web Social des Objets : Permettre une Interaction Autonome et Flexible dans l’Internet des Objets." Thesis, Lyon, 2016. http://www.theses.fr/2016EMSE0813/document.
Full textThe Internet of Things (IoT) aims to create a global ubiquitous ecosystem composed of large numbers of heterogeneous devices. To achieve this vision, the World Wide Web is emerging as a suitable candidate to interconnect IoT devices and services at the application layer into a Web of Things (WoT).However, the WoT is evolving towards large silos of things, and thus the vision of a global ubiquitous ecosystem is not fully achieved. Furthermore, even if the WoT facilitates mashing up heterogeneous IoT devices and services, existing approaches result in static IoT mashups that cannot adapt to dynamic environments and evolving user requirements. The latter emphasizes another well-recognized challenge in the IoT, that is enabling people to interact with a vast, evolving, and heterogeneous IoT.To address the above limitations, we propose an architecture for an open and self-governed IoT ecosystem composed of people and things situated and interacting in a global environment sustained by heterogeneous platforms. Our approach is to endow things with autonomy and apply the social network metaphor to createflexible networks of people and autonomous things. We base our approach on results from multi-agent and WoT research, and we call the envisioned IoT ecosystem the Social Web of Things.Our proposal emphasizes heterogeneity, discoverability and flexible interaction in the IoT. In the same time, it provides a low entry-barrier for developers and users via multiple layers of abstraction that enable them to effectively cope with the complexity of the overall ecosystem. We implement several application scenarios to demonstrate these features
Moeuf, Alexandre. "Identification des risques, opportunités et facteurs critiques de succès de l’industrie 4.0 pour la performance industrielle des PME." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC025/document.
Full textThe SMEs, predominant actors of the industry, have to reach customer expectations that are more and more complex. One of the solutions is to improve the management of the industrial processes which includes production planning and control, performance measurement and evaluation. Lately the concept of industry 4.0 has emerged. This new approach allows the control of production processes by providing real time synchronization of flows and by enabling the production of unitary and customized products. This concept is based on emerging new technologies such as cloud computing and Internet of Things. Our research goal is to identify the industry 4.0 risks, opportunities and critical success factors regarding SMEs industrial performances. Our first work shows that the SMEs have their own specific managerial features that may undermine the adoption of the industry 4.0 concept. Our review of the scientific literature also shows that there are disparities between industry 4.0 business cases in SMEs. These business cases are also poorly documented a provide only few insights for SMEs managers. The inherent difficulty to identify detailed examples prevented us from conducting a statistical study of the industry 4.0 cases within SMEs. In order to reach our research goal, we conducted a prospective study by consulting experts. Our study shows that the major risks facing the adoption of the industry 4.0 concept in SMEs is the lack of expertise and the short-term strategy mindset. The study also shows that training is the most important success factor, that managers have a prominent role in the success and/or the failure of an industry 4.0 project, and that SMEs should be supported by external experts. Lastly, industry 4.0 offers a unique opportunity to redesign SMEs production processes and to adopt new business models. SMEs have decisive advantages toward this industrial revolution that they must use in order to keep their competitive advantages against large company
Jadal, Idriss. "Un système pour l'identification et la localisation des objets en robotique." Paris 11, 1985. http://www.theses.fr/1985PA112238.
Full textThird generation robotics is characterized by on line decision and advanced perception capabilities. The subject of this thesis is the realization of manufacturing parts recognition software to be used in future advanced robotics systems. This method proceeds by a date compression of the edge image of an object into a structural array describing outer and inner contour paths. The Fourier spectrum of each of these paths allows the object identification and ascertaining its orientation in the working area of the robot. This method is invariant under isomorphic transformations. It gives very good results recognizing objects whose edges are imperfect due to noise, shadows or specular reflexions. It is suited to most industrial parts and asks for a computing time compatible with real time handling
Bouchereau, Aymeric. "Les objets connectés au service de l'apprentissage." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCC018.
Full textLearning - a vital principle of evolution - ensures the transformation of primary data captured by our senses into useful knowledge or abstract and general ideas that can be used in new situations and contexts. Cognitive neuroscience shows that the mechanisms of learning are stimulated by cognitive (e.g. wondering, evaluating errors), physical (e.g. manipulating, moving) and social (e.g. debating, collaborating) engagement. The learner builds knowledge through experience, by exploring his environment, formulating hypotheses and experimenting.Learning is crucial in a context where the exponential evolution of information and communication technologies is changing objects, practices and uses. The development of the Internet of Things (IoT) transforms common objects (e.g. light bulbs, watches, cars) into connected devices (CD) that can collect data and act on the user's environment. Learning becomes both biological and artificial and allows the creation of artificial intelligence systems (AIS) that analyse large volumes of data to automate tasks and assist individuals.Technologies can support learning when the technical possibilities they offer are used to support the process of knowledge construction. Thus, this thesis focuses on learning in the context of IoT and examines how the specificities of CD can be articulated with the mechanisms of learning.In order to identify the characteristics of learning in the context of IoT, we studied existing uses of CD. Based on the state of the art, we proposed a conceptual tool describing the IoT through four dimensions of analysis: Data, Interfaces, Agents and Pervasiveness. This tool enabled us to identify, list, classify and ultimately analyse the uses of CD for learning. In the context of these uses, learning is characterised by physical commitment, contextualisation of knowledge and bringing pedagogical activities closer to reality.Building on the results of this initial work, we have developed an approach to put the specificities of CD to learn sciences. The abstract and often counter-intuitive aspect of scientific knowledge hinders their learning, partly because our perception of reality is subjective and limited by our senses. However, data collected by CD and analysed by AIS provide information about the environment that can be used to extend human perception.Therefore, the objective of our approach, translated by the Data - Representations - Interactions (DRI) model, aims at exploiting OCs and SIAs to facilitate the observation of physical phenomena. According to the DRI model, the learner interacts with representations of a physical phenomenon generated by CD and AIS. In accordance with the mechanisms of learning (e.g. constructivism, role of experience), the learner is led to make observations and manipulations, formulate hypotheses and test them. In order to evaluate the effects and constraints of the DRI model, we have designed LumIoT devices dedicated to the learning of photometric quantities (e.g. luminous flux, luminous intensity, illuminance). Then, we conducted an experiment with 17 students of the Master 1 Multimedia Products and Services of the University of Franche-Comté (Montbéliard).The results of the experiment show that the LumIoT devices, based on the DRI model, have facilitated the observation and understanding of photometric quantities. By making abstract knowledge accessible, the DRI model paves the way for learning devices using CD and AIS to mediate knowledge
Fayad, Achraf. "Protocole d’authentification sécurisé pour les objets connectés." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT051.
Full textThe interconnection of private resources on public infrastructure, user mobility and the emergence of new technologies (vehicular networks, sensor networks, Internet of things, etc.) have added new requirements in terms of security on the server side as well as the client side. Examples include the processing time, mutual authentication, client participation in the choice of security settings and protection against traffic analysis. Internet of Things (IoT) is in widespread use and its applications cover many aspects of today's life, which results in a huge and continuously increasing number of objects distributed everywhere.Security is no doubt the element that will improve and strengthen the acceptability of IoT, especially that this large scale deployment of IoT systems will attract the appetite of the attackers. The current cyber-attacks that are operational on traditional networks will be projected towards the Internet of Things. Security is so critical in this context given the underlying stakes; in particular, authentication has a critical importance given the impact of the presence of malicious node within the IoT systems and the harm they can cause to the overall system. The research works in this thesis aim to advance the literature on IoT authentication by proposing three authentication schemes that satisfy the needs of IoT systems in terms of security and performance, while taking into consideration the practical deployment-related concerns. One-Time Password (OTP) is an authentication scheme that represents a promising solution for IoT and smart cities environments. This research work extends the OTP principle and propose a new approach to generate OTP based on Elliptic Curve Cryptography (ECC) and Isogeny to guarantee the security of such protocol. The performance results obtained demonstrate the efficiency and effectiveness of our approach in terms of security and performance.We also rely on blockchains in order to propose two authentication solutions: first, a simple and lightweight blockchain-based authentication scheme for IoT systems based on Ethereum, and second, an adaptive blockchain-based authentication and authorization approach for IoT use cases. We provided a real implementation of our proposed solutions. The extensive evaluation provided, clearly shows the ability of our schemes to meet the different security requirements with a lightweight cost in terms of performance
Louail, Malik. "Intégration de la qualité de service (QoS) dans l’internet industriel des objets (IIoT) pour l’usine du futur." Electronic Thesis or Diss., Troyes, 2022. http://www.theses.fr/2022TROY0010.
Full textWith the integration of Internet in industrial production and in manufacturing, the concept of Industrial Internet of things (IIoT) has become one of the most innovative tools for factories. IIoT enables intelligent industrial operations to deal with the big amount of tasks coming from the smart factories. These incoming tasks have to be executed in a fog node or in the cloud, respecting a set of constraints. In this thesis, we introduce a classification of the litterature dealing with task scheduling in fog computing. We present a dynamic network scheduler for the fogs network in order to handle smart manufacturing tasks in the aim to achieve a good management through the network. We also propose an enhacement of our system by making an optimzed routing protocol based on artificial intelligence method which makes the system better at decision making and more adaptable to changes. Extensive simulations have shown that the proposed systems have better performance, in terms of rejected tasks, than similar existing works under certain conditions. Globally, the measure of some quality of service metrics in the fog network, in real time, and with implementing adaptable task scheduling algorithms improve the performance, the productivity and the benefits of the smart factory
Claeys, Timothy. "Sécurité pour l'internet des objets : une approche des bas en haut pour un internet des objets sécurisé et normalisé." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM062.
Full textThe rapid expansion of the IoT has unleashed a tidal wave of cheap Internet-connected hardware. Formany of these products, security was merely an afterthought. Due to their advanced sensing and actuatingfunctionalities, poorly-secured IoT devices endanger the privacy and safety of their users.While the IoT contains hardware with varying capabilities, in this work, we primarily focus on the constrainedIoT. The restrictions on energy, computational power, and memory limit not only the processingcapabilities of the devices but also their capacity to protect their data and users from attacks. To secure theIoT, we need several building blocks. We structure them in a bottom-up fashion where each block providessecurity services to the next one.The first cornerstone of the secure IoT relies on hardware-enforced mechanisms. Various security features,such as secure boot, remote attestation, and over-the-air updates, rely heavily on its support. Sincehardware security is often expensive and cannot be applied to legacy systems, we alternatively discusssoftware-only attestation. It provides a trust anchor to remote systems that lack hardware support. In thesetting of remote attestation, device identification is paramount. Hence, we dedicated a part of this work tothe study of physical device identifiers and their reliability.The IoT hardware also frequently provides support for the second building block: cryptography. Itis used abundantly by all the other security mechanisms, and recently much research has focussed onlightweight cryptographic algorithms. We studied the performance of the recent lightweight cryptographicalgorithms on constrained hardware.A third core element for the security of the IoT is the capacity of its networking stack to protect the communications.We demonstrate that several optimization techniques expose vulnerabilities. For example,we show how to set up a covert channel by exploiting the tolerance of the Bluetooth LE protocol towardsthe naturally occurring clock drift. It is also possible to mount a denial-of-service attack that leverages theexpensive network join phase. As a defense, we designed an algorithm that almost completely alleviates theoverhead of network joining.The last building block we consider is security architectures for the IoT. They guide the secure integrationof the IoT with the traditional Internet. We studied the IETF proposal concerning the constrainedauthentication and authorization framework, and we propose two adaptations that aim to improve its security.Finally, the deployment of the IETF architecture heavily depends on the security of the underlying communicationprotocols. In the future, the IoT will mainly use the object security paradigm to secure datain flight. However, until these protocols are widely supported, many IoT products will rely on traditionalsecurity protocols, i.e., TLS and DTLS. For this reason, we conducted a performance study of the most criticalpart of the protocols: the handshake phase. We conclude that while the DTLS handshake uses fewerpackets to establish the shared secret, TLS outperforms DTLS in lossy networks
Challita, Frédéric. "Massive MIMO channel characterization and propagation-based antenna selection strategies : application to 5G and industry 4.0." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I043/document.
Full textContinuous efforts have been made to boost wireless systems performance, however, current wireless networks are not yet able to fulfill the many gaps from 4G and requirements for 5G. Thus, significant technological breakthroughs are still required to strengthen wireless networks. For instance, in order to provide higher data rates and accommodate many types of equipment, more spectrum resources are needed and the currently used spectrum requires to be efficiently utilized. 5G, or the fifth generation of mobile networks, is initially being labeled as an evolution, made available through improvements in LTE, but it will not be long before it becomes a revolution and a major step-up from previous generations. Massive MIMO has emerged as one of the most promising physical-layer technologies for future 5G wireless systems. The main idea is to equip base stations with large arrays (100 antennas or more) to simultaneously communicate with many terminals or user equipments. Using smart pre-processing at the array, massive MIMO promises to deliver superior system improvement with improved spectral efficiency, achieved by spatial multiplexing and better energy efficiency, exploiting array gain and reducing the radiated power. Massive MIMO can fill the gap for many requirements in 5G use-cases notably industrial IOT (internet of things) in terms of data rates, spectral and energy efficiency, reliable communication, optimal beamforming, linear processing schemes and so on. However, the hardware and software complexity arising from the sheer number of radio frequency chains is a bottleneck and some challenges are still to be tackled before the full operational deployment of massive MIMO. For instance, reliable channel models, impact of polarization diversity, optimal antenna selection strategies, mutual coupling and channel state information acquisition amongst other aspects, are all important questions worth exploring. Also, a good understanding of industrial channels is needed to bring the smart industry of the future ever closer.In this thesis, we try to address some of these questions based on radio channel data from a measurement campaign in an industrial scenario using a massive MIMO setup. The thesis' main objectives are threefold: 1) Characterization of massive MIMO channels in Industry 4.0 (industrial IoT) with a focus on spatial correlation, classification and impact of cross-polarization at transmission side. The setup consists in multiple distributed user-equipments in many propagation conditions. This study is based on propagation-based metrics such as Ricean factor, correlation, etc. and system-oriented metrics such as sum-rate capacity with linear precoding and power allocation strategies. Moreover, polarization diversity schemes are proposed and were shown to achieve very promising results with simple allocation strategies. This work provides comprehensive insights on radio channels in Industry 4.0 capable of filling the gap in channel models and efficient strategies to optimize massive MIMO setups. 2) Proposition of antenna selection strategies using the receiver spatial correlation, a propagation metric, as a figure of merit. The goal is to reduce the number of radio frequency chain and thus the system complexity by selecting a set of distributed antennas. The proposed strategy achieves near-optimal sum-rate capacity with less radio frequency chains. This is critical for massive MIMO systems if complexity and cost are to be reduced. 3) Proposition of an efficient strategy for overhead reduction in channel state information acquisition of FDD (frequency-division-duplex) systems. The strategy relies on spatial correlation at the transmitter and consists in solving a set of simple autoregressive equations (Yule-Walker equations). The results show that the proposed strategy achieves a large fraction of the performance of TDD (time-division-duplex) systems initially proposed for massive MIMO
Patrigeon, Guillaume. "Systèmes intégrés adaptatifs ultra basse consommation pour l’Internet des Objets." Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTS036.
Full textThe Internet of Things is an infrastructure enabling advanced services by interconnecting things. Although the large variety of Internet of Things applications involve many kinds of technical solutions, many of those are based on a typical architecture that can be divided in three layers: the perception layer, the transport layer and the services layer. The dispositive that composed the perception layer, called “sensor nodes”, are subject of technical requirements: size, security, reliability, autonomous, and long lifetime. Sensor nodes’ energy efficiency is the most critical point where traditional technologies show their limitations. New strategies and solutions are proposed to overcome this technical challenge; however, how can those be evaluated, with which tools and at which level? How emerging technologies can be optimized and integrated inside microcontrollers for Internet of Things applications? Which are the new strategies for energy management to adopt with technologies such as 28 nm FD-SOI and non-volatiles memories? What are their limitations? Will they be sufficient?To evaluate the integration of emerging technologies inside low power microcontrollers, we propose a new methodology using an FPGA-based sensor node prototyping platform. Able to operate in already deployed wireless sensor networks, we use it to perform fast and precise evaluations, taking account of the application context. We studied and evaluated multiple memory architecture configurations based on STT magnetic memories as a replacement of traditional solutions, and showed that the non-volatile STT memory technology can improve a microcontroller’s energy efficiency for embedded applications
Mebrek, Adila. "Fog Computing pour l’Internet des objets." Thesis, Troyes, 2020. http://www.theses.fr/2020TROY0028.
Full textFog computing is a promising approach in the context of the Internet of Things (IoT) as it provides functionality and resources at the edge of the network, closer to end users. This thesis studies the performance of fog computing in the context of latency sensitive IoT applications. The first issue addressed is the mathematical modeling of an IoT-fogcloud system, and the performance metrics of the system in terms of energy consumed and latency. This modeling will then allow us to propose various effective strategies for content distribution and resource allocation in the fog and the cloud. The second issue addressed in this thesis concerns the distribution of content and object data in fog / cloud systems. In order to simultaneously optimize offloading and system resource allocation decisions, we distinguish between two types of IoT applications: (1) IoT applications with static content or with infrequent updates; and (2) IoT applications with dynamic content. For each type of application, we study the problem of offloading IoT requests in the fog. We focus on load balancing issues to minimize latency and the total power consumed by the system
Adomnicai, Alexandre. "Cryptographie légère pour l'internet des objets : implémentations et intégrations sécurisées." Thesis, Lyon, 2019. https://tel.archives-ouvertes.fr/tel-02868017.
Full textWhile the internet of things (IoT) promises many advances for businesses, administrations and citizens, its deployment is a real challenge in terms of privacy and security. In order to ensure the confidentiality and the authenticity of information transmitted by these objects, numerous IoT protocols incorporate cryptographic algorithms within their specification. To date, these algorithms are the same as the ones used in traditionnal internet security protocols and thus, have not been designed with constrainted plateforms in mind. This thesis focuses on lightweight cryptography which aims at reduce as much as possible the cost of its implementation.Apart from the main goal of lightweight cryptography which is to consume less ressources than traditional algorithms, it is also valuable to take into account the integration of countermeasures against physical attacks during the design phase in order to limit their impact. Although this kind of attacks require a physical access to the target, this can be a realistic scenario as connected objets might be deployed everywhere and thus, potentially accessible by malicious people. Our works focus on the study of three lightweight cryptographic algorithms, each having a potential for industrial applications. Especially, we highlight the need of secure implementations by introducing two new side-channel attacks : one against ChaCha20, standardized by the IETF and now used in TLS 1.3, and another one against ACORN, an algorithm being part of the CAESAR portfolio
Bourduge, Jocelyn. "Shémas de codage binaires et non-binaires pour l'Internet des Objets." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP059.
Full textThe Internet of Things (IoT), enabling the interconnection of physical devices capable of collecting and exchanging data, has garnered immense interest in recent years. Its sphere of influence encompasses numerous diverse domains such as healthcare, agriculture, industry, and smart cities.However, the large-scale deployment of IoT devices can pose challenges, especially for applications requiring long-range communication with low power consumption, while ensuring error-free transmissions in highly diverse environments. Low-power wide area networks (LPWANs) offer a solution by providing various technologies that address application constraints. One such widely adopted technology is LoRa, deployed in LoRa wide area networks (LoRaWANs). This technology, based on chirp spread spectrum modulation (CSS), enables long-range transmission with low throughput, ensuring extended battery life for IoT devices in challenging environments.Furthermore, error-correcting codes play a pivotal role in modern communications by detecting and correcting transmission errors through redundancy in sent messages. For IoT applications, these codes can prevent the retransmission of erroneous messages or reduce transmission power, thereby conserving device battery life. In the context of LoRaWAN, the choice of simple codes such as Hamming codes has been made to ensure a certain performance threshold while maintaining low decoding complexity.In this thesis, we first propose a comprehensive study of LoRa modulation and new modulations based on LoRa proposed in the literature to optimize spectral efficiency. These new modulations include adding information in the phase, employing different types of chirps, or utilizing the quadrature component of the signal. We also investigate error-correcting codes for this type of modulation and for small message length in various environments. We particularly highlight the interest in iterative binary coded schemes using optimized LDPC codes or multi-level coded binary schemes employing polar codes. Finally, we delve into non-binary coded schemes constrained by very high modulation orders and very short codewords, emphasizing the performance-to-cost ratio
Kamgueu, Patrick Olivier. "Configuration dynamique et routage pour l'internet des objets." Electronic Thesis or Diss., Université de Lorraine, 2017. http://www.theses.fr/2017LORR0241.
Full textIn recent years, the growing interest of scientific and industrial community has led to the standardization of new protocols that consider the unique requirements of Wireless Sensor Networks (WSN) nodes. At network layer, RPL (IPv6 Routing Protocol for Low-power and Lossy Network) has been proposed by IETF as the routing standard for network that uses LLN nodes, namely, those where both nodes and their interconnects are constrained. They operate on low-power embedded batteries and use lossy links, making communications unreliable and lead to a significant data loss rates. This thesis aims to optimize the routing in WSNs (especially those using TCP/IP protocol stack), as well as their efficient and cost-effective connection to the Internet. First, we have proposed two new RPL objective functions. The first uses as unique routing criterion, the node remaining energy with the goal of maximizing the network lifetime. An energy model that allows the nodes to dynamically estimate their remaining energy at runtime has been implemented and integrate to the protocol. The second objective function uses fuzzy logic reasoning to combine several criteria to take Quality of Service into account. Indeed, this scheme provides a good trade-off on several inputs and requires a low memory footprint. In the last part of this thesis, we designed and implemented an architecture that enable an efficient integration of several RPL based WSNs to the Internet to achieve the Internet of Things vision
Kamgueu, Patrick Olivier. "Configuration dynamique et routage pour l'internet des objets." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0241/document.
Full textIn recent years, the growing interest of scientific and industrial community has led to the standardization of new protocols that consider the unique requirements of Wireless Sensor Networks (WSN) nodes. At network layer, RPL (IPv6 Routing Protocol for Low-power and Lossy Network) has been proposed by IETF as the routing standard for network that uses LLN nodes, namely, those where both nodes and their interconnects are constrained. They operate on low-power embedded batteries and use lossy links, making communications unreliable and lead to a significant data loss rates. This thesis aims to optimize the routing in WSNs (especially those using TCP/IP protocol stack), as well as their efficient and cost-effective connection to the Internet. First, we have proposed two new RPL objective functions. The first uses as unique routing criterion, the node remaining energy with the goal of maximizing the network lifetime. An energy model that allows the nodes to dynamically estimate their remaining energy at runtime has been implemented and integrate to the protocol. The second objective function uses fuzzy logic reasoning to combine several criteria to take Quality of Service into account. Indeed, this scheme provides a good trade-off on several inputs and requires a low memory footprint. In the last part of this thesis, we designed and implemented an architecture that enable an efficient integration of several RPL based WSNs to the Internet to achieve the Internet of Things vision
Moudoud, Hajar. "Intégration de la Blockchain à l’Internet des Objets." Electronic Thesis or Diss., Troyes, 2022. http://www.theses.fr/2022TROY0006.
Full textThe Internet of Things (IoT) is transforming traditional industry into a smart industry where decisions are made based on data. The IoT interconnects many objects that perform complex tasks. However, the intrinsic characteristics of the IoT lead to several problems, such as decentralization and privacy and security issues. Blockchain has emerged as a key technology to address the challenges of IoT. Due to its salient features such as decentralization, immutability, and security, blockchain has been proposed to establish trust in several applications, including IoT. The integration of blockchain with IoT opens the door to new possibilities that inherently improve trustworthiness, reputation, and transparency for all parties involved, while enabling security. However, conventional blockchains are computationally expensive, have limited scalability, and require high bandwidth, making them unsuitable for resource constrained IoT environments. The main objective of this thesis is to use blockchain as a key tool to improve IoT. To achieve our goal, we address the challenges of data reliability and security in IoT by using blockchain as well as new emerging technologies, including artificial intelligence
Bernasconi, Gianenrico. "L'objet portatif : production, consommation, représentations à l'âge pré-industriel : un document matériel entre cultures techniques et usages." Paris 1, 2009. http://www.theses.fr/2009PA010656.
Full textAubry, Nicolas. "Segmentation et mesures géométriques : application aux objets tubulaires métalliques." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0110/document.
Full textThe presence of specularity on an object is a recurring problem that limits the application of many segmentation methods. Indeed, specularities are areas with a very high intensity and greatly disturb the detection when the notion of gradient of the image is used. The work carried out in this thesis makes it possible to propose a new detection method for a metallic tubular object in an image. The method avoids the notion of gradient by using the notion of intensity profile. We propose in this manuscript a process which traverses predefined rectangular areas of the image by scanning a discrete segment in search of a reference intensity profile. This work is part of a collaboration with Numalliance, a company that manufactures machine tools. This collaboration enables this method to be put into a real industrial application as part of an automatic and real-time quality control system for parts manufactured by machine tools. To this end, the method presented must be fast, robust to the specularities and to the industrial environment while being sufficiently precise to make it possible to conclude on the conformity or not of the part
Bui, Duy-Hieu. "Système avancé de cryptographie pour l'internet des objets ultra-basse consommation." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT001/document.
Full textThe Internet of Things (IoT) has been fostered by accelerated advancements in communication technologies, computation technologies,sensor technologies, artificial intelligence, cloud computing, and semiconductor technologies. In general, IoT contains cloud computing to do data processing, communication infrastructure including the Internet, and sensor nodes which can collect data, send them through the network infrastructure to the Internet, and receive controls to react to the environment. During its operations, IoT may collect, transmit and process secret data, which raise security problems. Implementing security mechanisms for IoT is challenging because IoT organizations include millions of devices integrated at multiple layers, whereas each layer has different computation capabilities and security requirements. Furthermore, sensor nodes in IoT are intended to be battery-based constrained devices with limited power budget, limited computation, and limited memory footprint to reduce costs. Implementing security mechanisms on these devices even encounters more challenges. This work is therefore motivated to focus on implementing data encryption to protect IoT sensor nodes and systems with the consideration of hardware cost, throughput and power/energy consumption. To begin with, a ultra-low-power block cipher crypto-accelerator with configurable parameters is proposed and implemented in ST 28nm FDSOI technology in SNACk test chip with two cryptography modules: AES and PRESENT. AES is a widely used data encryption algorithm for the Internet and currently used for new IoT proposals, while PRESENT is a lightweight algorithm which comes up with reduced security level but requires with much smaller hardware area and lower consumption. The AES module is a 32-bit datapath architecture containing multiple optimization strategies supporting multiple security levels from 128-bit keys up to 256-bit keys. The PRESENT module contains a 64-bit round-based architecture to maximize its throughput. The measured results indicate that this crypto-accelerator can provide medium throughput (around 20Mbps at 10MHz) while consumes less than 20uW at normal condition and sub-pJ of energy per bit. However, the limitation of crypto-accelerator is that the data has to be read into the crypto-accelerator and write back to memory which increases the power consumption. After that, to provide a high level of security with flexibility and configurability to adapt to new standards and to mitigate to new attacks, this work looks into an innovative approach to implement the cryptography algorithm which uses the new proposed In-Memory-Computing SRAM. In-Memory Computing SRAM can provide reconfigurable solutions to implement various security primitives by programming the memory's operations. The proposed scheme is to carry out the encryption in the memory using the In-Memory-Computing technology. This work demonstrates two possible mapping of AES and PRESENT using In-Memory Computing
Lemke, Laurent. "Modèles partagés et infrastructures ouverte pour l'internet des objets de la ville Intelligente." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM022/document.
Full textNowadays cities face several challenges and are concerned by ecological, energetic, economical, and demographical aspects. Smart cities, equipped with sensors, actuators, and digital infrastructures, are meant to tackle these issues.Current smart cities are operated by several actors without sharing sensor data or accesses to the actuators. This is a vertical organization, in which each actor deploys its own sensors and actuators, and manages its own digital infrastructure. Each actor may be interested in a different aspect of city management, for instance traffic management, air control, etc. The current trend is a transition towards a more horizontal organization, based on an open and shared mediation platform. In such a platform, sensor data and accesses to actuators can be shared among several actors. The costs related to nfrastructure deployment and management are therefore reduced for each individual actor. This PhD is a contribution to this volution towards horizontal organizations, with open and shared platforms. We propose: (1) an abstraction layer for the ontrol and supervision of the city; (2) a concurrency management mechanism; (3) a coordination mechanism that helps haring actuators; (4) a proof-of-concept implementation of these contributions. The abstraction layer we propose helps users control and supervise a city. It is based upon formal models inspired by the ones used in the programming of reactive systems. They represent the physical elements present in each smart city, with genericity principles. In order to ease application development, the interface of those models is made uniform. Since applications, especially control ones, may ave real-time constraints, we also list the constraints this poses on distributed infrastructures. As soon as actuators are shared, conflicts may occur between users. Our proposals include a concurrency management mechanism, based on eservation principles. We also provide a coordination mechanism for the users to be able to perform several actions in an tomic way.All these principles have been implemented as a proof of concept. We review several use cases, to demonstrate he potential benefits of our proposals
Naas, Mohammed Islam. "Placement des données de l'internet des objets dans une infrastructure de fog." Thesis, Brest, 2019. http://www.theses.fr/2019BRES0014/document.
Full textIn the coming years, Internet of Things (IoT) will be one of the applications generating the most data. Nowadays, IoT data is stored in the Cloud. As the number of connected objects increases, transmitting the large amount of produced data to the Cloud will create bottlenecks. As a result, latencies will be high and unpredictable. In order to reduce these latencies, Fog computing has been proposed as a paradigm extending Cloud services to the edge of the network. It consists of using any equipment located in the network (e.g. router) to store and process data. Therefore, the Fog presents a heterogeneous infrastructure. Indeed, its components have differences in computing performance, storage capacity and network interconnections. This heterogeneity can further increase the latency of the service. This raises a problem: the wrong choice of data storage locations can increase the latency of the service. In this thesis, we propose a solution to this problem in the form of four contributions: 1. A formulation of the IoT data placement problem in the Fog as a linear program. 2. An exact solution to solve the data placement problem using the CPLEX, a mixed linear problem solver. 3. Two heuristics based on the principle of “divide and conquer” to reduce the time of placement computation. 4. An experimental platform for testing and evaluating solutions for IoT data placement in the Fog, integrating data placement management with iFogSim, a Fog and IoT environment simulator
Billet, Benjamin. "Système de gestion de flux pour l'Internet des objets intelligents." Thesis, Versailles-St Quentin en Yvelines, 2015. http://www.theses.fr/2015VERS012V/document.
Full textThe Internet of Things (IoT) is currently characterized by an ever-growing number of networked Things, i.e., devices which have their own identity together with advanced computation and networking capabilities: smartphones, smart watches, smart home appliances, etc. In addition, these Things are being equipped with more and more sensors and actuators that enable them to sense and act on their environment, enabling the physical world to be linked with the virtual world. Specifically, the IoT raises many challenges related to its very large scale and high dynamicity, as well as the great heterogeneity of the data and systems involved (e.g., powerful versus resource-constrained devices, mobile versus fixed devices, continuously-powered versus battery-powered devices, etc.). These challenges require new systems and techniques for developing applications that are able to (i) collect data from the numerous data sources of the IoT and (ii) interact both with the environment using the actuators, and with the users using dedicated GUIs. To this end, we defend the following thesis: given the huge volume of data continuously being produced by sensors (measurements and events), we must consider (i) data streams as the reference data model for the IoT and (ii) continuous processing as the reference computation model for processing these data streams. Moreover, knowing that privacy preservation and energy consumption are increasingly critical concerns, we claim that all the Things should be autonomous and work together in restricted areas as close as possible to the users rather than systematically shifting the computation logic into powerful servers or into the cloud. For this purpose, our main contribution can be summarized as designing and developing a distributed data stream management system for the IoT. In this context, we revisit two fundamental aspects of software engineering and distributed systems: service-oriented architecture and task deployment. We address the problems of (i) accessing data streams through services and (ii) deploying continuous processing tasks automatically, according to the characteristics of both tasks and devices. This research work lead to the development of a middleware layer called Dioptase, designed to run on the Things and abstract them as generic devices that can be dynamically assigned communication, storage and computation tasks according to their available resources. In order to validate the feasability and the relevance of our work, we implemented a prototype of Dioptase and evaluated its performance. In addition, we show that Dioptase is a realistic solution which can work in cooperation with legacy sensor and actuator networks currently deployed in the environment