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Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017)
Subtitle of host publicationProceedings of a meeting held 5-7 June 2017, Ottawa, Ontario, Canada
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)9781538639917
ISBN (Print)9781538639924
DateAccepted/In press - 10 Mar 2017
DateE-pub ahead of print - 29 Jan 2018
DatePublished (current) - Apr 2018
Event13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017 - Ottawa, Canada
Duration: 5 Jun 20177 Jun 2017

Publication series

ISSN (Print)2325-2944


Conference13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017


The upcoming Internet of Things (IoT) applications include real-time human activity monitoring with wearable sensors. Compared to the traditional environmental sensing with low-power wireless nodes, these new applications generate a constant stream of a much higher rate. Nevertheless, the wearable devices remain battery powered and therefore restricted to low-power wireless standards such as IEEE 802.15.4 or Bluetooth Low Energy (BLE). Our work tackles the problem of building a reliable autonomous schedule for forwarding this kind of dynamic data in IEEE 802.15.4 TSCH networks. Due to the a priori unpredictability of these data source locations, the quality of the wireless links, and the routing topology of the forwarding network, it is wasteful to reserve the number of slots required for the worst-case scenario, under conditions of high expected datarate, it is downright impossible. The solution we propose is a hybrid approach where dedicated TSCH cells and shared TSCH slots coexist in the same schedule. We show that under realistic assumptions of wireless link diversity, adding shared slots to a TSCH schedule increases the overall packet delivery rate and the fairness of the system.

    Structured keywords

  • Digital Health

    Research areas

  • Time slotted channel hopping, scheduling, Internet of Things, Digital Health


13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017

Duration5 Jun 20177 Jun 2017

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 426 KB, PDF document


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