Academic literature on the topic 'Time Slotted Channel Hopping (TSCH)'

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Journal articles on the topic "Time Slotted Channel Hopping (TSCH)":

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Teshome, Eden, Diana Deac, Steffen Thielemans, Matthias Carlier, Kris Steenhaut, An Braeken, and Virgil Dobrota. "Time Slotted Channel Hopping and ContikiMAC for IPv6 Multicast-Enabled Wireless Sensor Networks." Sensors 21, no. 5 (March 4, 2021): 1771. http://dx.doi.org/10.3390/s21051771.

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Smart buildings benefit from IEEE 802.15.4e time slotted channel hopping (TSCH) medium access for creating reliable and power aware wireless sensor and actuator networks (WSANs). As in these networks, sensors are supposed to communicate to each other and with actuators, IPv6 multicast forwarding is seen as a valuable means to reduce traffic. A promising approach to multicast, based on the Routing Protocol for Low Power and Lossy Networks (RPL) is Bidirectional Multicast RPL Forwarding (BMRF). This paper aimed to analyze the performance of BMRF over TSCH. The authors investigated how an adequate TSCH scheduler can help to achieve a requested quality of service (QoS). A theoretical model for the delay and energy consumption of BMRF over TSCH is presented. Next, BMRF’s link layer (LL) unicast and LL broadcast forwarding modes were analyzed on restricted and realistic topologies. On topologies with increased interference, BMRF’s LL broadcast on top of TSCH causes high energy consumption, mainly because of the amount of energy needed to run the schedule, but it significantly improves packet delivery ratio and delay compared to ContikiMAC under the same conditions. In most cases, the LL unicast was found to outperform the LL broadcast, but the latter can be beneficial to certain applications, especially those sensitive to delays.
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Bae, Byeong-Hwan, and Sang-Hwa Chung. "Fast Synchronization Scheme Using 2-Way Parallel Rendezvous in IEEE 802.15.4 TSCH." Sensors 20, no. 5 (February 27, 2020): 1303. http://dx.doi.org/10.3390/s20051303.

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The high level of robustness and reliability required in industrial environments can be achieved using time-slotted channel hopping (TSCH) medium access control (MAC) specified in institute of electrical and electronics engineers (IEEE) 802.15.4. Using frequency channel hopping in the existing TSCH network, a parallel rendezvous technique is used to exchange packets containing channel information before network synchronization, thereby facilitating fast network synchronization. In this study, we propose a distributed radio listening (DRL)–TSCH technique that uses a two-way transmission strategy based on the parallel rendezvous technique to divide the listening channel by sharing the channel information between nodes before synchronization. The performance evaluation was conducted using the OpenWSN stack, and the actual experiment was carried out by utilizing the OpenMote-cc2538 module. The time taken for synchronization and the number of rendezvous packets transmitted were measured in linear and mesh topologies, and the amount of energy used was evaluated. The performance results demonstrate a maximum average reduction in synchronization time of 67% and a reduction in energy consumption of 58% when compared to the performance results of other techniques.
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Sordi, Marcos A., Ohara K. Rayel, Guilherme L. Moritz, and João L. Rebelatto. "Towards Improving TSCH Energy Efficiency: An Analytical Approach to a Practical Implementation." Sensors 20, no. 21 (October 24, 2020): 6047. http://dx.doi.org/10.3390/s20216047.

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The IEEE 802.15.4-2015 standard defines a number of Medium Access Control (MAC) layer protocols for low power wireless communications, which are desirable for energy-constrained Internet of Things (IoT) devices. Originally defined in the IEEE 802.15.4e amendment, the Time Slotted Channel Hopping (TSCH) has recently been attracting attention from the research community due to its reduced contention (time scheduling) and robustness against fading (channel hopping). However, it requires a certain level of synchronization between the nodes, which can increase the energy consumption. In this work, we implement the Guard Beacon (GB) strategy, aiming at reducing the guard time usually implemented to compensate for imperfect synchronization. Moreover, besides presenting a realistic energy consumption model for a Contiki Operating System-based TSCH network, we show through analytical and practical results that, without the proposed scheme, the power consumption can be more than 13% higher.
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Ortiz Guerra, Erik, Mario Martínez Morfa, Carlos Manuel García Algora, Hector Cruz-Enriquez, Kris Steenhaut, and Samuel Montejo-Sánchez. "Enhanced Beacons Dynamic Transmission over TSCH." Future Internet 16, no. 6 (May 24, 2024): 187. http://dx.doi.org/10.3390/fi16060187.

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Time slotted channel hopping (TSCH) has become the standard multichannel MAC protocol for low-power lossy networks. The procedure for associating nodes in a TSCH-based network is not included in the standard and has been defined in the minimal 6TiSCH configuration. Faster network formation ensures that data packet transmission can start sooner. This paper proposes a dynamic beacon transmission schedule over the TSCH mechanism that achieves a shorter network formation time than the default minimum 6TiSCH static schedule. A theoretical model is derived for the proposed mechanism to estimate the expected time for a node to get associated with the network. Simulation results obtained with different network topologies and channel conditions show that the proposed mechanism reduces the average association time and average power consumption during network formation compared to the default minimal 6TiSCH configuration.
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Elsts, Atis. "TSCH-Sim: Scaling Up Simulations of TSCH and 6TiSCH Networks." Sensors 20, no. 19 (October 3, 2020): 5663. http://dx.doi.org/10.3390/s20195663.

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TSCH (Time-Slotted Channel Hopping) and 6TiSCH (IPv6 over the TSCH mode of IEEE 802.15.4e) low-power wireless networks are becoming prominent in the industrial Internet of Things (IoT) and other areas where high reliability is needed in conjunction with energy efficiency. Due to the complexity of IoT deployments, network simulations are typically used for pre-deployment design and validation. However, it is currently difficult and time-consuming to simulate large-scale IoT networks with thousands of nodes. This paper proposes TSCH-Sim: a new discrete event simulator for IEEE 802.15.4-2015 TSCH and 6TiSCH networks. The evaluation shows that simulation results obtained with TSCH-Sim show a good match with results from other simulators that are commonly used to investigate TSCH networks. At the same time, TSCH-Sim is faster than these alternatives at least by an order of magnitude, making it more practical to carry out simulations of large networks.
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Yang, Wei, Yadong Wan, Jie He, and Yuanlong Cao. "Security Vulnerabilities and Countermeasures for Time Synchronization in TSCH Networks." Wireless Communications and Mobile Computing 2018 (December 10, 2018): 1–14. http://dx.doi.org/10.1155/2018/1954121.

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Time-slotted channel hopping (TSCH), which can enable highly reliable and low-power wireless mesh networks, is the cornerstone of current industrial wireless standards. In a TSCH network, all nodes must maintain high-precision synchronization. If an adversary launches a time-synchronization attack on a TSCH network, the entire network communication system can be paralyzed. Thus, time-synchronization security is a key problem in this network. In this article, time synchronization is divided into single-hop pairwise, clusterwise, and three-level multihop according to the network scope. We deeply analyze their security vulnerabilities due to the TSCH technology itself and its high-precision synchronization requirements and identify the specific attacks; then, we propose corresponding security countermeasures. Finally, we built a test bed using 16 OpenMoteSTM nodes and the OpenWSN software to evaluate the performance of the proposed scheme. The experimental results showed that serious security vulnerabilities exist in time-synchronization protocols, and the proposed countermeasures can successfully defend against the attacks.
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Deac, Diana, Eden Teshome, Roald Van Glabbeek, Virgil Dobrota, An Braeken, and Kris Steenhaut. "Traffic Aware Scheduler for Time-Slotted Channel-Hopping-Based IPv6 Wireless Sensor Networks." Sensors 22, no. 17 (August 25, 2022): 6397. http://dx.doi.org/10.3390/s22176397.

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Wireless sensor networks (WSNs) are becoming increasingly prevalent in numerous fields. Industrial applications and natural-disaster-detection systems need fast and reliable data transmission, and in several cases, they need to be able to cope with changing traffic conditions. Thus, time-slotted channel hopping (TSCH) offers high reliability and efficient power management at the medium access control (MAC) level; TSCH considers two dimensions, time and frequency when allocating communication resources. However, the scheduler, which decides where in time and frequency these communication resources are allotted, is not part of the standard. Orchestra has been proposed as a scheduler which allocates the communication resources based on information collected through the IPv6 routing protocol for low-power and lossy networks (RPL). Orchestra is a very elegant solution, but does not adapt to high traffic. This research aims to build an Orchestra-based scheduler for applications with unpredictable traffic bursts. The implemented scheduler allocates resources based on traffic congestion measured for the children of the root and RPL subtree size of the same nodes. The performance analysis of the proposed scheduler shows lower latency and higher packet delivery ratio (PDR) compared to Orchestra during bursts, with negligible impact outside them.
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Perumalla, Vijaya, B. Seetha Ramanjaneyulu, and Ashok Kolli. "Simulation Study of Topological Structures and Node Coordinations for Deterministic WSN with TSCH." JOIV : International Journal on Informatics Visualization 1, no. 4 (November 4, 2017): 115. http://dx.doi.org/10.30630/joiv.1.4.38.

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Time-Slotted Channel hopping (TSCH) that was introduced in IEEE802.15.4e is a promising technique to offer deterministic data deliveries in Wireless Sensor Networks (WSN). Its main strength lies in using multiple channels for the transmissions, using frequency hopping method. However, it takes more time for initializing the network, as beacons have to be released on multiple frequencies and scanning needs to be carried out by the devices in all those frequencies for joining the network. In this work, a simulation study is carried out to investigate the effect of these delays for different types of multihop networks. The benefit of introducing multiple coordinators in reducing these time delays is also studied. It is found that the delays are increasing linearly with the number of hops in the network and adding an additional coordinator can bring down the initialization time by half.
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Bunn, Marcus Vinicius, Samuel Baraldi Mafra, Richard Demo Souza, and Guilherme Luiz Moritz. "Exploiting Simultaneous Multi-Brand Operation to Improve 6TiSCH Reliability and Latency." Journal of Communication and Information Systems 38, no. 1 (October 31, 2023): 157–68. http://dx.doi.org/10.14209/jcis.2023.18.

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The Internet Engineering Task Force (IETF) group "IPv6 over the TSCH mode of IEEE 802.15.4e" (6TiSCH) introduced a protocol, utilizing Time-Slotted Channel Hopping (TSCH) from IEEE802.15.4e due to its high reliability and time-deterministic characteristic, that achieves industrial performance requirements while offering the benefits of IP connectivity. This work proposes the addition of a second radio interface in 6TiSCH devices to operate a parallel network in sub-GHz, introducing transmit diversity while benefiting from decreased path-loss and reduced interference. Simulation results show an improvement of 20% in Packet Delivery Ratio (PDR) and close to 31% in latency in different 6TiSCH networks scenarios.
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Vera-Pérez, Jose, David Todolí-Ferrandis, Salvador Santonja-Climent, Javier Silvestre-Blanes, and Víctor Sempere-Payá. "A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks." Sensors 18, no. 10 (October 20, 2018): 3556. http://dx.doi.org/10.3390/s18103556.

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Wireless Sensor Networks have become a key enabler for Industrial Internet of Things (IoT) applications; however, to adapt to the derived robust communication requirements, deterministic and scheduled medium access should be used, along with other features, such as channel hopping and frequency diversity. Implementing these mechanisms requires a correct synchronization of all devices in the network, a stage in deployment that can lead to non-operational networks. The present article presents an analysis of such situations and possible solutions, including the common current approaches and recommendations, and proposes a new beacon advertising method based on a specific Trickle Timer for the Medium Access Control (MAC) Time-Slotted Channel Hopping (TSCH) layer, decoupling from the timers in the network and routing layers. With this solution, improvements in connection success, time to join, and energy consumption can be obtained for the widely extended IEEE802.15.4e standard.

Dissertations / Theses on the topic "Time Slotted Channel Hopping (TSCH)":

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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.

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L'Internet Industriel des Objets (IIoT) offre un paysage complexe avec de nombreuses contraintes, notamment en raison de son utilisation pour piloter des applications critiques dans l'Industrie 4.0. Les exigences dans un tel contexte, en termes d'efficacité énergétique et de qualité de service (délai, fiabilité, déterminisme et robustesse), sont strictes et d'une importance capitale. Il en découle un besoin impératif de mécanismes de gestion sophistiqués tout au long de leur cycle de vie pour répondre à ces exigences. Cette thèse explore deux axes technologiques pour relever ce défi : l'ordonnancement basé sur l'Apprentissage par Renforcement pour le protocole TSCH (Time Slotted Channel Hopping) et le Jumeau Numérique du Réseau (JNR). L'ordonnancement TSCH dans l'IIoT est identifiée comme un domaine essentiel pour optimiser la performance de ces réseaux. Plusieurs travaux ont proposé des techniques d'ordonnancement basées sur l'Apprentissage par Renforcement pour les protocoles MAC TDMA (Time Division Multiple Access) , et plus particulièrement pour TSCH. Toutefois, l'utilisation de cette approche dans un réseau contraint comme l'IIoT présente le risque d'une consommation énergétique accrue. Cela est dû au processus d'apprentissage continu et à la coordination entre les nœuds nécessaire pour gérer le problème de non-stationnarité du réseau, considéré comme un Système Multi-Agents. Cette thèse présente un nouvel algorithme d'ordonnancement distribué basé sur l'Apprentissage par Renforcement, nommé QL-TSCH-plus. Cet algorithme est conçu pour être adaptatif et efficace, avec des objectifs de réduction de la consommation d'énergie et des délais propres aux environnements IIoT. En parallèle du développement de l'ordonnancement pour TSCH, cette thèse adopte le concept de JNR comme solution viable pour une gestion efficace de l'IIoT. Les jumeaux numériques sont de plus en plus utilisés pour optimiser les performances des systèmes industriels. En capitalisant sur cette technologie, une architecture JNR holistique pour l'IIoT est proposée, où le réseau est intégré avec d'autres composants industriels. L'architecture exploite les réseaux définies par logiciel (SDN) pour permettre une gestion en boucle fermée du réseau tout au long de son cycle de vie (de la conception au service). Cette architecture facilite la validation rapide des solutions réseau dans un environnement industriel grâce au lien continu entre le JNR et le réseau IIoT physique. De plus, nous proposons de modéliser l'IIoT dans le JNR en utilisant des réseaux de Petri, permettant des réseaux de Petri basés sur les données. Ces modèles servent de modèles formels à gros grains, permettant une simulation rapide pour l'exécution de scénarios hypothétiques et une détection des fautes en temps réel, essentielle dans les applications industrielles critiques
The 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

Book chapters on the topic "Time Slotted Channel Hopping (TSCH)":

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Vieira Júnior, Ivanilson França, Jorge Granjal, and Marília Curado. "TSCH Network Health: Identifying the Breaking Point." In Ambient Intelligence and Smart Environments. IOS Press, 2022. http://dx.doi.org/10.3233/aise220045.

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Composed of constrained devices, Low-Power and Lossy Networks (LLNs) have been applied for numerous Internet of Things (IoT) applications. In addition, the Time-Slotted Channel Hopping (TSCH) media access control has been specified by IEEE aiming at Industrial IoT (IIoT). TSCH brings in the deterministic factor over wireless communication; it balances energy, bandwidth and latency, offering reliable communication. This paper conducted an experiment to reach the Contiki-NG’s TSCH Minimal Schedule breaking point. We analysed network factors to identify evidence that may lead to performance degradation. The located evidence might be employed by edge resilient counter-measures systems developers, vertical integration researchers or scheduling function designers to improve systems and increase the IIoT reliability.

Conference papers on the topic "Time Slotted Channel Hopping (TSCH)":

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Du, Peng, and George Roussos. "Adaptive time slotted channel hopping for wireless sensor networks." In 2012 4th Computer Science and Electronic Engineering Conference (CEEC). IEEE, 2012. http://dx.doi.org/10.1109/ceec.2012.6375374.

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Yao, Zhiguo, Peng Wang, Shen Guo, Mingyu Zhang, and Haoyang Sun. "Channel Assignment Algorithm for Time Slotted Channel Hopping in Electric IoT." In 2022 China International Conference on Electricity Distribution (CICED). IEEE, 2022. http://dx.doi.org/10.1109/ciced56215.2022.9928882.

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Hammoudi, Sarra, Abdelhak Bentaleb, Saad Harous, and Zibouda Aliouat. "Scheduling in IEEE 802.15.4e Time Slotted Channel Hopping: A Survey." In 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2020. http://dx.doi.org/10.1109/uemcon51285.2020.9298043.

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Cena, Gianluca, Stefano Scanzio, and Adriano Valenzano. "Enabling Listening Suspension in the Time Slotted Channel Hopping Protocol." In 2021 17th IEEE International Conference on Factory Communication Systems (WFCS). IEEE, 2021. http://dx.doi.org/10.1109/wfcs46889.2021.9483595.

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Carhacioglu, Onur, Pouria Zand, and Majid Nabi. "Cooperative Coexistence of BLE and Time Slotted Channel Hopping Networks." In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2018. http://dx.doi.org/10.1109/pimrc.2018.8580918.

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Tavallaie, Omid, Javid Taheri, and Albert Y. Zomaya. "Towards optimizing time-slotted channel hopping scheduling on 6TiSCH networks." In SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3384419.3430454.

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Tavakoli, Rasool, Majid Nabi, Twan Basten, and Kees Goossens. "Enhanced Time-Slotted Channel Hopping in WSNs Using Non-intrusive Channel-Quality Estimation." In 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2015. http://dx.doi.org/10.1109/mass.2015.48.

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Hahm, Oliver, Cedric Adjih, Emmanuel Baccelli, Thomas C. Schmidt, and Matthias Wahlisch. "Designing Time Slotted Channel Hopping and Information - Centric Networking for IoT." In 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS). IEEE, 2016. http://dx.doi.org/10.1109/ntms.2016.7792445.

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Cena, Gianluca, Stefano Scanzio, Lucia Seno, Adriano Valenzano, and Claudio Zunino. "Energy-Efficient Link Capacity Overprovisioning In Time Slotted Channel Hopping Networks." In 2020 16th IEEE International Conference on Factory Communication Systems (WFCS). IEEE, 2020. http://dx.doi.org/10.1109/wfcs47810.2020.9114449.

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Charlier, Maximilien, Bruno Quoitin, and David Hauweele. "Challenges in using time slotted channel hopping with ultra wideband communications." In IoTDI '19: International Conference on Internet-of-Things Design and Implementation. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3302505.3310071.

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Reports on the topic "Time Slotted Channel Hopping (TSCH)":

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Palattella, M., and L. Grieco. Using IEEE 802.15.4e Time-Slotted Channel Hopping (TSCH) in the Internet of Things (IoT): Problem Statement. Edited by T. Watteyne. RFC Editor, May 2015. http://dx.doi.org/10.17487/rfc7554.

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