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Energy Efficiency Maximization of Self-Sustained Wireless Body Area Sensor Networks

2019/10/11 by Osama Amjad, Ebrahim Bedeer, Amjad, Osama +3
Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #FOS: Electrical engineering #Molecular Communication and Nanonetworks #Signal Processing (eess.SP) #Wireless Body Area Networks #eess.SP #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1910.05444

arxiv created 2019/10/11 · openalex publication_date 2019/10/11 · arxiv updated 2019/10/15 · openalex created_date 2022/07/13 · openalex updated_date 2026/07/28

Abstract

Electronic health monitoring is one of the major applications of wireless body area networks (WBANs) that helps with early detection of any abnormal physiological symptoms. In this paper, we propose and solve an optimization problem that maximizes the energy efficiency (EE) of WBAN consisting of sensor nodes (SNs) equipped with energy harvesting capabilities communicating with an aggregator. We exploit the structure of the optimization problem to provide a sub-optimal solution at a lower computational complexity and derive the mathematical expressions of upper and lower bounds of the source rates of the SN. The simulation results reveal that the optimal allocation of the source rate to energy critical SNs improves the system performance of WBAN in terms of energy efficiency during different everyday activities.

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