Literatura científica selecionada sobre o tema "Réseaux de capteurs sans fil mobile"
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Artigos de revistas sobre o assunto "Réseaux de capteurs sans fil mobile"
Guitton, Alexandre. "Réseaux de capteurs sans fil à multiples piles protocolaires". Techniques et sciences informatiques 33, n.º 9-10 (30 de dezembro de 2014): 841–48. http://dx.doi.org/10.3166/tsi.23.841-848.
Texto completo da fonteBelfkih, Abderrahmen, Bruno Sadeg, Claude Duvallet e Laurent Amanton. "Les bases de données dans les réseaux de capteurs sans fil". Techniques et sciences informatiques 33, n.º 9-10 (30 de dezembro de 2014): 739–76. http://dx.doi.org/10.3166/tsi.33.739-776.
Texto completo da fonteRuiz, Linnyer B., José Marcos Nogueira e Antonio A. F. Loureiro. "Autogestion de Réseaux de Capteurs Sans Fil : Services, Fonctions, Modèles et Étude de Cas". Annales Des Télécommunications 60, n.º 7-8 (agosto de 2005): 831–57. http://dx.doi.org/10.1007/bf03219950.
Texto completo da fonteGouyon, David, e Michael David. "Vers l'implantation d'un système contrôlé par le produit à l'aide de réseaux de capteurs sans fil". Journal Européen des Systèmes Automatisés 43, n.º 4-5 (30 de maio de 2009): 537–60. http://dx.doi.org/10.3166/jesa.43.537-560.
Texto completo da fonteAymen Labiod, Mohamed, Noureddine Doghmane, Amira Boulmaiz e Mouhamadou Mansour Gueye. "Initiation aux systèmes embarqués à travers la mise en oeuvre de Réseaux de Capteurs Sans Fil (RCSF)". J3eA 21 (2022): 2054. http://dx.doi.org/10.1051/j3ea/20222054.
Texto completo da fonteAhmed Boubrima. "Déploiement et ordonnancement de réseaux de capteurs sans fil pour le suivi de la pollution de l'air". Bulletin 1024, n.º 16 (novembro de 2020): 137–41. http://dx.doi.org/10.48556/sif.1024.16.137.
Texto completo da fonteJamont, Jean-Paul, e Michel Occello. "Une approche multi-agent pour la gestion de la communication dans les réseaux de capteurs sans fil". Techniques et sciences informatiques 25, n.º 5 (1 de junho de 2006): 661–90. http://dx.doi.org/10.3166/tsi.25.661-690.
Texto completo da fonteChandellier, L., M. Douniol, M. F. Jean-Bordes e P. Turpin. "Naissance et premiers pas d’une équipe mobile de pédopsychiatrie destinée aux mineurs confiés à l’Aide sociale à l’enfance de Paris (ASE)". European Psychiatry 28, S2 (novembro de 2013): 67. http://dx.doi.org/10.1016/j.eurpsy.2013.09.177.
Texto completo da fonteKengne Tchendji, Vianney, e Blaise Paho Nana. "Management of Low-density Sensor-Actuator Network in a Virtual Architecture". Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées Volume 27 - 2017 - Special... (12 de março de 2018). http://dx.doi.org/10.46298/arima.3110.
Texto completo da fonteCHALLAL, Yacine. "Sécurité des réseaux de capteurs sans fil". Sécurité des systèmes d'information, fevereiro de 2015. http://dx.doi.org/10.51257/a-v1-h5390.
Texto completo da fonteTeses / dissertações sobre o assunto "Réseaux de capteurs sans fil mobile"
Messai, Sarra. "Gestion de la mobilité dans les réseaux de capteurs sans fil". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1183.
Texto completo da fonteWireless Sensor Networks (WSNs) are increasingly invading our lives. With the rise of Internet of Things (IoT), WSNs are used in applications that require observation of the physical world and data collection. However, many obstacles inherent to the specificities of WSNs must be overcome before reaching the maturity of this technology. Among these obstacles, the resource limitations such as energy, computing capability, bandwidth and storage capability of sensor nodes. In this thesis, we focus on mobility management as a solution to improve network performance in terms of energy consumption and optimization of data collection. A mobile wireless sensor network is a network in which at least the base station is mobile.We first looked at the case where only the base station is mobile. In this context, we proposed a network organization that leverages base station mobility to optimize data collection while reducing the dissipated energy by sensor nodes. The proposed organization is based on a grid architecture and an optimized base station mobility algorithm for collecting data. We implemented our solution in the NS-2 simulation environment. The obtained simulation results show clearly the improvement of our proposal compared to other existing approaches. Then we looked at the case where the mobility is total, in other words, each sensor node in the network can be mobile. In this case, we worked on the issue of key management to ensure the security of data collection. In this context, we proposed a new key management scheme based on the random key pre-distribution. Our solution has the particularity of ensuring the self-healing of the network where sensor nodes are compromised. We evaluated and implemented our solution and compared it with two other reference schemes to show its effectiveness
Roth, Damien. "Gestion de la mobilité dans les réseaux de capteurs sans fil". Phd thesis, Université de Strasbourg, 2012. http://tel.archives-ouvertes.fr/tel-00793315.
Texto completo da fonteBoulanouar, Ibtissem. "Algorithmes de suivi de cible mobile pour les réseaux de capteurs sans fils". Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1077/document.
Texto completo da fonteWireless Sensor Networks (WSN) are a set of tiny autonomous and interconnected devices. These Sensors are scattered in a region of interest to collect information about the surrounding environment depending on the intended application. Nowadays, sensors allow handling more complex data such as multimedia flow. Thus, we observe the emergence of Wireless Multimedia Sensor Networks opening a wider range of applications. In this work, we focus on tracking moving target in these kinds of networks. Target tracking is defined as a two-stage application: detection and localization of the target through its evolution inside an area of interest. This application can be very useful. For example, the presence of an intruder can be detected and its position inside a sensitive area reported, elderly or sick persons carrying sensors can be tracked anytime and so on. Unlike classical monitoring systems, WSN are more flexible and more easy to set up. Moreover, due to their versatility and autonomy they can be used in hostile regions, inaccessible for human. However, these kinds of networks have some limitations: wireless links are not reliable and data processing and transmission are greedy processes in term of energy. To overcome the energy constraint, only the sensors located in target pathway should be activated. Thus, the question is : how to select these sensors to obtain the best compromise between the tracking precision and the energy consumption? This is the question we are trying to answer in this dissertation. Firstly, we focus on communicating targets which have the ability to transmit signals and greatly facilitate the tracking process. The challenge here is to relay the information between the concerned sensors. In order to deal with this challenge, we use a deployment strategy based on virtual forces (VFA: Virtual Forces Algorithm) associated to a distributed tracking algorithm implemented in a cluster-based network. Secondly, we handle a more complex and more frequent case of non-communicating targets. The objective is to detect the presence of such target using movement sensors. We propose the deployment of an heterogeneous wireless sensor networks composed of movement sensors used to detect the target and camera sensors used to locate it. When the target is detected the information is sent to the camera sensors which decide whether to activate or not their cameras based on probabilistic criteria which include the camera orientation angle. Finally, as our last contribution, we specifically focus on target mobility models. These models help us to predict target behaviour and refine the sensor activation process. We use the Extended Kalamn filter as prediction model combined with a change detection mechanism named CuSum (Cumulative Summuray). This mechanism allows to efficiently compute the future target coordinates, and to select which sensors to activate
Abo, Robert. "Approches formelles pour l'analyse de la performabilité des systèmes communicants mobiles : Applications aux réseaux de capteurs sans fil". Electronic Thesis or Diss., Paris, CNAM, 2011. http://www.theses.fr/2011CNAM0822.
Texto completo da fonteWe are interested in analyzing the performability requirements of mobile communication systems by using model checking techniques. We model these systems using a high-level formalism derived from the π-calculus, for considering stochastic, timed, deterministic or indeterministic behaviors. However, in the π-calculus, the basic communication primitive of systems is the synchronous point-to-point communication. However, mobile systems that use wireless networks, mostly communicate by local broadcast. Therefore, we first define the broadcast communication into the π-calculus, to better model the systems we study. We propose to use probabilistic and stochastic versions of the algebra we have defined to allow performance studies. We define a temporal version to consider time in the models. But the lack of tools for analyzing properties of models specified with π-calculus is a major obstacle to our work and its objectives. The definition of translation rules into the PRISM language allows us to translate our models in low-level models which can support model checking, namely discrete time, or continuous time Markov chains, timed automata, or probabilistic timed automata. We chose the PRISM model checker because, in our best knowledge, in its latest version, it is the only tool that supports the low-level formalisms that we have previously cited, and thus, makes it possible to realize complete performability studies. This approach allows us to overcome the lack of model checkers for our models. Subsequently, we apply these theoretical concepts to analyse performability of mobile wireless sensor networks
Abo, Robert. "Approches formelles pour l'analyse de la performabilité des systèmes communicants mobiles : Applications aux réseaux de capteurs sans fil". Phd thesis, Conservatoire national des arts et metiers - CNAM, 2011. http://tel.archives-ouvertes.fr/tel-00816392.
Texto completo da fonteSow, Idrissa. "Partitionnement et Geocasting dans les Réseaux Mobiles Ad hoc et Collecte des Données dans les Réseaux de Capteurs". Phd thesis, Université de Picardie Jules Verne, 2009. http://tel.archives-ouvertes.fr/tel-00440004.
Texto completo da fonteFotue, Fotso David Bertrand. "Agrégation et routage efficace de données dans les réseaux de capteurs sans fils". Electronic Thesis or Diss., Paris, ENST, 2013. http://www.theses.fr/2013ENST0066.
Texto completo da fonteWireless Sensor Networks (WSNs) have gained much attention in a large range of technical fields such as industrial, military, environmental monitoring etc. Sensors are powered by batteries, which are not easy to replace in harsh environments. The energy stored by each sensor is the greatest impediment for increasing WSN lifetime. Since data transmission consumes more energy, our major concern is how to efficiently transmit the data from all sensors towards a sink. We suggest three tree-based data aggregation algorithms: Depth-First Search Aggregation (DFSA), Flooding Aggregation (FA) and Well-Connected Dominating Set Aggregation (WCDSA) to reduce the number of transmissions from each sensor towards the sink. Tree-based data aggregation suffers from increased data delivery time because the parents must wait for the data from their leaves. Some parents might have many leaves, making it very expensive for a parent to store all incoming data in its buffer. We need to determine the aggregation time each parent in the tree has to spend in aggregating and processing the data from its leaves. We propose an Efficient Tree-based Aggregation and Processing Time (ETAPT) algorithm using Appropriate Data Aggregation and Processing Time (ADAPT) metric. Given the maximum acceptable latency, ETAPT's algorithm takes into account the position of parents, their number of leaves and the depth of the tree, in order to compute an optimal ADAPT time. At any time, the amount of data aggregated by parents may become greater than the amount of data that can be forwarded. We propose the introduction into the network of many data aggregators called Mini-Sinks (MSs). MSs are mobile and move according to a random mobility model inside the sensor field to maintain the fully-connected network in order to aggregate the data based on the controlled Multipath Energy Conserving Routing Protocol (MECRP). Sensors may use many radio interfaces sharing a single wireless channel, which they may use to communicate with several neighbours. Two sensors operating on the same wireless channel may interfere with each other during the transmission of data. We need to know which channel to use in the presence of multiple channels for a given transmission. We propose a distributed Well-Connected Dominating Set Channel Assignment (WCDS-CA) approach, in which the number of channels that are needed over all sensor nodes in the network in such a way that adjacent sensor nodes are assigned to distinct channels
Castañeda, Nadir. "Géo-localisation et poursuite dans un réseau mobile". Phd thesis, Télécom ParisTech, 2008. http://pastel.archives-ouvertes.fr/pastel-00004202.
Texto completo da fonteFotue, Fotso David Bertrand. "Agrégation et routage efficace de données dans les réseaux de capteurs sans fils". Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0066/document.
Texto completo da fonteWireless Sensor Networks (WSNs) have gained much attention in a large range of technical fields such as industrial, military, environmental monitoring etc. Sensors are powered by batteries, which are not easy to replace in harsh environments. The energy stored by each sensor is the greatest impediment for increasing WSN lifetime. Since data transmission consumes more energy, our major concern is how to efficiently transmit the data from all sensors towards a sink. We suggest three tree-based data aggregation algorithms: Depth-First Search Aggregation (DFSA), Flooding Aggregation (FA) and Well-Connected Dominating Set Aggregation (WCDSA) to reduce the number of transmissions from each sensor towards the sink. Tree-based data aggregation suffers from increased data delivery time because the parents must wait for the data from their leaves. Some parents might have many leaves, making it very expensive for a parent to store all incoming data in its buffer. We need to determine the aggregation time each parent in the tree has to spend in aggregating and processing the data from its leaves. We propose an Efficient Tree-based Aggregation and Processing Time (ETAPT) algorithm using Appropriate Data Aggregation and Processing Time (ADAPT) metric. Given the maximum acceptable latency, ETAPT's algorithm takes into account the position of parents, their number of leaves and the depth of the tree, in order to compute an optimal ADAPT time. At any time, the amount of data aggregated by parents may become greater than the amount of data that can be forwarded. We propose the introduction into the network of many data aggregators called Mini-Sinks (MSs). MSs are mobile and move according to a random mobility model inside the sensor field to maintain the fully-connected network in order to aggregate the data based on the controlled Multipath Energy Conserving Routing Protocol (MECRP). Sensors may use many radio interfaces sharing a single wireless channel, which they may use to communicate with several neighbours. Two sensors operating on the same wireless channel may interfere with each other during the transmission of data. We need to know which channel to use in the presence of multiple channels for a given transmission. We propose a distributed Well-Connected Dominating Set Channel Assignment (WCDS-CA) approach, in which the number of channels that are needed over all sensor nodes in the network in such a way that adjacent sensor nodes are assigned to distinct channels
Ouattara, Yacouba. "Gestion de l'énergie et de la connectivité dans les réseaux de capteurs sans fil statiques et mobiles". Thesis, Besançon, 2015. http://www.theses.fr/2015BESA2046/document.
Texto completo da fonteA number of works based on wireless sensor networks are interested in the energy management of these sensors. This energy is in fact a critical factor in the operation of these networks. Proper construction of sensor clusters is a great way to minimize the consumption of this energy. The problems related to these networks and often lies in their lifetime but also in the need to maintain connectivity between all transducers. These two aspects are closely linked. In this thesis, we focused on these two aspects in the context of static sensor networks but also of mobile sensors.We propose, as a _rst step, a hybrid algorithm for setting up clusters and the management of theseclusters. The uniqueness of this solution lies in the establishment of geographic areas for designation fcluster heads but also in transmission, in the exchanged messages, the amount of remaining energy on the sensors. Thus, the sensor data will designate the cluster heads and their successors will determine the thresholds for other sensors and for their operation. The algorithm is tested through many simulations. The second part of the work is to adapt our _rst algorithm for mobile sensor networks. We a_ect the trajectory of sensors to maintain connectivity and reduce energy consumption. For this, we are guided echo-location practiced by bats. We're interested in changing and dynamic topology in sensor networks. We analyzed the loss of energy as a function of the distance and the power transmission between the nodes and the head cluster. We also evaluate our algorithm on sensors that have a random move. We apply these algorithms to a _eet of surveillance drones simulation
Livros sobre o assunto "Réseaux de capteurs sans fil mobile"
Hu, Fei. Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning. Boca Raton: Taylor & Francis, 2012.
Encontre o texto completo da fonteWireless instruments and instrumentation: Networks, design, and applications. Boca Raton, Fla: Taylor & Francis, 2005.
Encontre o texto completo da fonteJ, Guibas Leonidas, ed. Wireless sensor networks: An information processing approach. San Francisco: Morgan Kaufmann, 2004.
Encontre o texto completo da fonteZhao, Feng. Wireless sensor networks: An information processing approach. Amsterdam: Morgan Kaufmann, 2004.
Encontre o texto completo da fonteMobile opportunistic networks: Architectures, protocols and applications. Boca Raton: CRC Press, 2011.
Encontre o texto completo da fonteWiMax operator's manual: Building 802.16 wireless networks. 2a ed. Berkeley, CA: Apress, 2006.
Encontre o texto completo da fonteMobile telecommunications protocols for data networks. Chichester: John Wiley, 2003.
Encontre o texto completo da fonte1972-, Cao Xiaojun, ed. Wireless sensor networks: Principles and practice. Boca Raton: Auerbach Publications, 2009.
Encontre o texto completo da fonteEmbedded systems and wireless technology. Enfield, NH: Science Publishers, 2012.
Encontre o texto completo da fontenetwork), TechTV (Television, ed. TechTV's cutting the cord: A wireless consumer guide. Indianapolis, Ind: Que, 2002.
Encontre o texto completo da fonteTrabalhos de conferências sobre o assunto "Réseaux de capteurs sans fil mobile"
BANASEKA, Frank Kataka, Hervé FRANKLIN, Ferdinand KATSRIKU, Jamal-Deen ABDULAI, Akon EKPEZU e Isaac WIAFE. "Un modèle révisé de propagation électromagnétique dans les sols pour l'étude de réseaux sans fil de capteurs souterrains". In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2020. http://dx.doi.org/10.5150/jngcgc.2020.038.
Texto completo da fonte