Design considerations of reinforcement learning power controllers in Wireless Body Area Networks

Ramtin Kazemi*, Rein Vesilo, Eryk Dutkiewicz, Ren Ping Liu

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

A Wireless Body Area Network (WBAN) comprises a number of tiny devices implanted in/on the body that sample physiological signals of the human body and send them to a coordinator node for medical or other purposes. As these miniature devices run on built-in batteries, energy is the most valuable resource in WBANs. This makes signal interference between neighboring WBANs a serious threat because it causes energy waste in these systems. To mitigate this internetwork interference, we propose a dynamic power control mechanism in WBANs which employs reinforcement learning (RL) to learn from experience and improve its performance. This paper presents guidelines in designing efficient RL power controllers in WBANs and provides an analysis of the effect of the reward function, discount factor, learning rate and eligibility trace parameter where the main performance criteria used are convergence and solution optimality in terms of throughput and energy consumption per bit.

Original languageEnglish
Title of host publication 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, New Jersey
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2030-2036
Number of pages7
ISBN (Print)9781467325691
DOIs
Publication statusPublished - 2012
Event2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC) - Sydney, Australia
Duration: 9 Sep 201212 Sep 2012
Conference number: 23rd

Other

Other2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)
CountryAustralia
CitySydney
Period9/09/1212/09/12

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    Kazemi, R., Vesilo, R., Dutkiewicz, E., & Liu, R. P. (2012). Design considerations of reinforcement learning power controllers in Wireless Body Area Networks. In 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC): proceedings (pp. 2030-2036). [6362688] Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIMRC.2012.6362688