A Low Power Control System for Wireless Body Area Networks using Adaptive Fuzzy Logic

Abstract: Wireless body sensor networks (WBSNs) for medical applications, such as vital signal monitoring and the diagnose assistant has received tremendous attention in recent years. Wireless sensing system tends to focus on low power consumption. Firstly, an adaptive fuzzy controller is designed and a statistical analysis of the performance of the system is conducted. An adaptive-resolution control system based on a fuzzy control technique is designed for wireless body sensor networks in order to develop a high quality and low power system. The concept of the adaptive resolution control technique is to produce the control signals by selecting different clock frequencies with fuzzy decision technique. The results show that this work can improve the quality of ECG signals in abnormal region and also reduce transmission power for wireless body sensor networks. Results prove that adaptive fuzzy logic can adapt rapidly and successfully to the changing dynamic situation with which it is presented. Keywords: Adaptive, fuzzy logic, health care monitoring, wireless body sensor networks.