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Towards optimizing time-slotted channel hopping scheduling on 6TiSCH networks: Poster abstract
The University of Sydney, AUS.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-9194-010X
The University of Sydney, AUS.
2020 (English)In: SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems, Association for Computing Machinery, Inc , 2020, p. 737-738Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Time-Slotted Channel Hopping (TSCH) is defined in the IEEE 802.15.4e standard as a share medium access control technology to address reliability and timeliness requirements of low-power Internet of Things (IoT) applications. While standards define mechanisms for the basic configuration and communication of TSCH nodes, the adaptation of the TSCH schedule to traffic dynamics has been left as an open research problem. In this poster, we propose an Optimized Adaptive TSCH Scheduling Function (OA-TSCH) to dynamically adjust the TSCH schedule to the changes in the data traffic loads. We implement OA-TSCH on Zolerita Firefly IoT motes and the Contiki-NG operating system to evaluate its performance. Evaluation results show that our proposed scheduling function can improve the packet delivery ratio and throughput significantly.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2020. p. 737-738
Keywords [en]
internet of things (IoT), time-slotted channel hopping (TSCH), Embedded systems, Function evaluation, Medium access control, Scheduling, Titanium compounds, Data traffic, Evaluation results, Packet delivery ratio, Research problems, Scheduling functions, Slotted channels, Traffic dynamics, Internet of things
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kau:diva-83122DOI: 10.1145/3384419.3430454Scopus ID: 2-s2.0-85097519485ISBN: 9781450375900 (print)OAI: oai:DiVA.org:kau-83122DiVA, id: diva2:1530091
Conference
18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020, 16 November 2020 through 19 November 2020
Available from: 2021-02-21 Created: 2021-02-21 Last updated: 2025-10-17Bibliographically approved

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Taheri, Javid

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
  • apa.csl
  • Other style
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  • de-DE
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  • Other locale
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Output format
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