DEVELOPMENT OF A POWER CONTROL ALGORITHM BASED ON THROUGHPUT WINDOW FOR WIRELESS BODY AREA NETWORKS

Abstract

Sensors in Wireless Body Area Networks (WBANs) require low power consumption to ensure continuous long-term operation while maintaining accurate and stable data transmission. This article proposes a novel power control algorithm that significantly improves energy efficiency for WBAN sensors compared to existing schemes. The proposed “Throughput Window-based Power Control” (TWC) algorithm ensures that the sensor’s throughput remains within a predefined range, aligning with system requirements. Simulation results demonstrate that TWC not only significantly reduces energy consumption but also maintains stable communication performance with high reliability under the unique transmission conditions of WBANs. In particular, TWC achieves the highest average energy efficiency, which is 1.5 times higher than the Max-Min Power Control (MMC) algorithm and 7.5 times higher than the No Power Control (NPC) scenario. Moreover, TWC yields the lowest average power consumption, reaching 0.75 times that of MMC and only 0.3 times that of NPC. Compared to MMC and NPC, TWC offers superior energy-saving capability while ensuring quality of service. These findings support the development of energy-autonomous WBAN models that meet the requirements of advanced health monitoring applications.