#5877. Distributed Power Controller of Massive Wireless Body Area Networks based on Deep Reinforcement Learning

July 2026publication date
Proposal available till 17-05-2025
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Journal’s subject area:
Computer Networks and Communications;
Information Systems;
Hardware and Architecture;
Software;
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Abstract:
Wireless body area network (WBAN) is encountering a tough challenge in terms of energy efficiency due to multiple realistic factors like increasing scale of network environment, emerging demand of healthcare applications and limited manufacturing technique of sensors. In this work, we address the energy saving issue of WBAN. We consider a layered network framework and hybrid channels with multiple in vivo medium. A distributed power controller is developed based on deep Q-learning algorithm to mitigate the affection of inter-network interference. The proposed power controller utilizes distributed coordinators to learn from WBAN environment and optimize the transmitting power of sensors in the communication.
Keywords:
Deep Q-network; Energy efficiency; Power control; Wireless body area networks

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