Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks

Atis Elsts, Xenofon Fafoutis, James Pope, George Oikonomou, Robert Piechocki, Ian Craddock

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

34 Citations (Scopus)
397 Downloads (Pure)


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.

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
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)9781538639917
ISBN (Print)9781538639924
Publication statusPublished - 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

Structured keywords

  • Digital Health


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

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