Optimizing WBAN Lifetime with Hybrid Node Ranking and Energy-Aware Multi-Hop Routing

Efficient clustering techniques were made possible by the necessity of optimizing network resources to extend the lifetime of densely deployed, large-scale Wireless Body Area Networks (WBN). This led to research on the development of these approaches. Clustering has shown to be a successful method for dividing a large-scale WBN into interconnected clusters, extending the networks’ lifespan and dependability. The nodes’ distances from the base station and one another can significantly affect how much energy they save and how long the network lasts. This research proposes a new technique that combines dynamic clustering, multi-CH selection, and node ranking. As per the Message Success Rate and Opportunistic Routing Scheme, the suggested method shows a mechanism of fuzzy ranking to rank forwarder nodes. This is done by listening to forwarder nodes’ participation in Wireless Body Networks (WBNs) and determining their positions with respect to the base station, that is depletion of information gathered. Because it takes minimum energy to replace the node, this advantage will significantly improve the network lifetime.