An Improvement Energy Consumption Policy Using Communication Reduction in Wireless Body Sensor Network

Since one of the main reasons for improvement network lifetime is communications reduction in collecting vital signs and transmit them to the coordinator. In this paper, it is tried to reduce communications through adaption the sampling rate through individual's discovered pattern, activity prediction and watchdog biosensor. The first, the daily behavior pattern of the individual is identified, then the individual's activities are predicted; if the predicted activity exists in the individual's behavioral pattern, all the sensors are activated to read information with maximum sampling rate. Otherwise, the sensors read information with the minimum sampling rate and the watchdog biosensor is activated to sense and send the vital signs with the maximum sampling rate. The simulation results show that the proposed method improves network traffic by 80% and decreases the energy consumption of the network by four times.