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Towards optimizing time-slotted channel hopping scheduling on 6TiSCH networks: poster abstract

Published:16 November 2020Publication History

ABSTRACT

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.

References

  1. 802.15.4e Task Group. 2012. IEEE Standard for Local and metropolitan area networks-Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment 1: MAC sublayer. IEEE Standard. IEEE.Google ScholarGoogle Scholar
  2. Simon Duquennoy et al. 2015. Orchestra: Robust Mesh Networks Through Autonomously Scheduled TSCH. In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys '15). ACM.Google ScholarGoogle Scholar
  3. Xavier Vilajosana, Kris Pister, and Thomas Watteyne. 2017. Minimal IPv6 over the TSCH Mode of IEEE 802.15.4e (6TiSCH) Configuration. RFC 8180. IETF.Google ScholarGoogle Scholar
  4. Qin Wang, Xavier Vilajosana, and Thomas Watteyne. 2018. 6TiSCH Operation Sublayer (6top) Protocol (6P). RFC 8480. IETF.Google ScholarGoogle Scholar

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  1. Towards optimizing time-slotted channel hopping scheduling on 6TiSCH networks: poster abstract

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      • Published in

        cover image ACM Conferences
        SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
        November 2020
        852 pages
        ISBN:9781450375900
        DOI:10.1145/3384419

        Copyright © 2020 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 November 2020

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        Acceptance Rates

        Overall Acceptance Rate174of867submissions,20%

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