Browse/search for people

Publication - Dr George Oikonomou

    Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks

    Citation

    Elsts, A, Fafoutis, X, Pope, J, Oikonomou, G, Piechocki, R & Craddock, I, 2018, ‘Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks’. in: 2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017). Institute of Electrical and Electronics Engineers (IEEE), pp. 3-10

    Abstract

    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.

    Full details in the University publications repository