Energy Efficient Data Aggregation in Wireless Ban Area Network Using Bee Swarm Optimisation

In a body area networks(BAN), sensor nodes are randomly distributed over the body and self-configured. By using clustering methods, load balancing and scaling are improved. One component that this algorithm uses to reduce energy use is data transmission. Nevertheless, the most difficult issue is the constant drain of sensor batteries. As a result, numerous efforts are being examined to enhance the network use of sensor energy inside a particular group. To reduce energy consumption in nodes with an adequate reduction in retransmission rates and packet congestion, we developed a bee swarm optimization model in this study and deployed sensor nodes in bigger environments. To reduce latency and packet loss, a cluster-based bee swarm optimization (BSO) clustering is used to elect cluster leaders and elect the BAN as a whole. The lower packet loss ratio guarantees by BSO that packets reaching the destination node more quickly. It has been confirmed through simulation that the entire process is optimised for energy usage and prevents packet retransmission by reducing packet waiting time.