Modeling the Performance of Wireless Body Sensor Networks

Wireless Body Area Network (WBAN) is a special purpose network of sensor nodes. Large number of patient’s conditions could be continuously monitored, alarms the person who wears sensors about auto medication during emergency condition. Due to the advancement in technology which has led to a tremendous increase in the use of wireless devices, the wireless body area network sensors are becoming a necessity part of the human daily life. In this paper the proposed system is based on the on-body store and flood routing (OBSFR) routing techniques to control flooding packet in WBAN depending on the time required to build route among WBAN network elements. OBSFR decreased total elapsed time to build routing table for overall Internet of Things (IoTs) sensors, which showed enhancement during increased number of body sensors in the network. The results showed the proposed adaptive OBSFR routing techniques has better performance in reducing the total average of each packet delivery delay as 21.672 seconds, throughput as 35.877 Bps, and packet delivery ratio as 98.964 (%) of 23 IoT sensor nodes.