ارائه یک الگوریتم فازی-ژنتیک برای کاهش توان مصرفی در شبکه های حسگر بی سیم بدنی

WBANs (Wireless Body Area Network) are expected to consume very low electrical power. One of the most important factors of energy consumption in WBAN is the presence of interference between the transmitter and receiver nodes. In this paper, a fuzzy- genetic based power control method is proposed to intelligently align transmission power of sensor nodes within a  WBAN. This technique utilizes the concepts of genetic algorithms to set up membership functions of fuzzy controller and its knowledge base so that by controlling the level of transmission power of each sensor, the entire network energy consumption is reduced by mitigating the impact of interference in neighborhood nodes. Compared to distributed Greedy power control algorithm, it is shown that the proposed genetic-fuzzy power control approach can reduce power consumption by at least 34 percent.