Delay Analysis of Multi-Physiological Parameters in Wireless Body Sensor Network

Wireless body sensor network (WBSN) uses biosensors to collect and monitor vital life signal, which provides more convenient and extensive medical services for human. A priority-based data transmission is used in this paper to arrange the priority of the monitoring medical information for different patients in WBSN. Considering that there is a large amount of data that fluctuates within the normal range in WBSN, we set up a fuzzy controller in the mote to evaluate the real-time network environment. According to the output results of the fuzzy controller, the network congestion conditions are divided and the corresponding packet dropping probability is set to feed back to the PDA. Meanwhile, queue management is adopted in PDA. When serious congestion occurs, a small number of data packets with lower priority will be dropped actively to control network congestion. The M/G/1 queuing model with preemptive priority is used in PDA to describe the queue dynamics, and then the queuing delay for different priority traffics are analyzed and derived. Simulation results show that this method can ensure the timely delivery of high priority data services when network congestion occurs.