2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2019
DOI: 10.1109/pimrc.2019.8904420
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A Scalable and Fast Model for Performance Analysis of IEEE 802.15.4 TSCH Networks

Abstract: DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal… Show more

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Cited by 6 publications
(6 citation statements)
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“…In [31], the authors develop an analytical model based on a discrete time Markov chain for modelling the behaviour of IEEE 802.15.4e TSCH CSMA/CA algorithm by taking into account channel errors in industrial wireless sensor networks. In [32], the authors propose a stochastic model for performance analysis of TSCH networks for shared links with nonideal wireless link properties. The above works are used to derive network performance using shared links in TSCH networks, in terms of packet delivery ratio, packet latency, and energy consumption.…”
Section: A Tsch Scheduling Algorithmmentioning
confidence: 99%
“…In [31], the authors develop an analytical model based on a discrete time Markov chain for modelling the behaviour of IEEE 802.15.4e TSCH CSMA/CA algorithm by taking into account channel errors in industrial wireless sensor networks. In [32], the authors propose a stochastic model for performance analysis of TSCH networks for shared links with nonideal wireless link properties. The above works are used to derive network performance using shared links in TSCH networks, in terms of packet delivery ratio, packet latency, and energy consumption.…”
Section: A Tsch Scheduling Algorithmmentioning
confidence: 99%
“…For each cluster in the network with a given configuration, we extract PEP hop , PL hop , and E hop using the TSCH performance model in [7]. Here, PEP, PL, and E represent the worst cases of reliability, latency, and energy consumption for a specific configuration of the network, respectively.…”
Section: Problem Statement a System Modelmentioning
confidence: 99%
“…The first loop traverses over clusters from 1 to N CH , and the inner loop iterates over all possible configurations. The performance of the clusters for each configuration are derived using the performance model in [7] (line 13). If the performance provided by the cluster configuration does not meet the user's constraints, it is removed from the eligible configurations.…”
Section: Approximated Pareto Algorithm (Apa)mentioning
confidence: 99%
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“…Several aspects of TSCH have been explored, such as energy consumption [10], scalability [9,11] and latency [12]. However, it is still unclear how a TSCH network performs under a mobile scenario since that topic is not explored thoroughly in the scientific literature.…”
Section: Introductionmentioning
confidence: 99%