Energy Efficiency in Load Balancing of Nodes Using Soft Computing Approach in WBAN

Wireless Body Area Network (WBAN) has become very prominent in recent years for patient monitoring systems which offer the flexibility for mobility of patients and the medical staff in indoor hospital environment. A large number of patients monitoring at hospital, includes more data collection of various Body Area Network Coordinator (BANC) at different data rates transmitting to base station for further diagnosis. Traffic generated at base station due to large number of packets transmitted by Medical Device Coordinators (MDC) makes the network congestion and more energy consumption of the nodes present close to the base station. We propose soft computing approach, i.e., Ant Colony based energy-efficient algorithm using cluster based for monitoring the data packets while balancing the load at each and every intermediate node by using Ant Colony probabilistic function for routing the data from source to the base station. Our proposed algorithm helps to ensure maximum network lifetime by using the modified cluster head rotation process during route construction. In the current work, we implemented monitoring of the patients using Ant colony based and done experimental result on OMNeT++ to prove the proposed method can find better results than conventional methods.