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J. Sens. Actuator Netw. 2017, 6(2), 6; doi:10.3390/jsan6020006

Relayer-Enabled Retransmission Scheduling in 802.15.4e LLDN—Exploring a Reinforcement Learning Approach

Department of Computer Science and Software Engineering /Wireless Research Centre, University of Canterbury, Private Bag 4800, Christchurch 8041, New Zealand
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Academic Editor: Màrio Alves
Received: 7 April 2017 / Revised: 20 May 2017 / Accepted: 31 May 2017 / Published: 3 June 2017
(This article belongs to the Special Issue QoS in Wireless Sensor/Actuator Networks and Systems)
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Abstract

We consider the scheduling of retransmissions in the low-latency deterministic network (LLDN) extension to the IEEE 802.15.4 standard. We propose a number of retransmission schemes with varying degrees of required changes to the LLDN specification. In particular, we propose a retransmission scheme that uses cooperative relayers and where the best relayer for a source node is learned using a reinforcement-learning method. The method allows for adapting relayer selections in the face of time-varying channels. Our results show that the relayer-based methods achieve a much better reliability over the other methods, both over static (but unknown) and over time-varying channels. View Full-Text
Keywords: IEEE 802.15.4e; LLDN; retransmission scheduling; cooperative relayers; reinforcement learning IEEE 802.15.4e; LLDN; retransmission scheduling; cooperative relayers; reinforcement learning
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MDPI and ACS Style

Willig, A.; Matusovsky, Y.; Kind, A. Relayer-Enabled Retransmission Scheduling in 802.15.4e LLDN—Exploring a Reinforcement Learning Approach. J. Sens. Actuator Netw. 2017, 6, 6.

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