Hybridization of Metaheuristic Algorithm for Dynamic Cluster-Based Routing Protocol in Wireless Sensor Networksx

Energy efficiency is considered the major design issue in wireless sensor networks (WSN), which can be addressed using clustering and routing techniques. They are treated as Non-deterministic Polynomial (NP)-hard optimization problems solved metaheuristic algorithms to identify optimal or near-optimal solutions. With this motivation, paper develops a hybridization of cluster-based (HMBCR) technique for WSN. The HMBCR initially involves brainstorm with levy distribution (BSO-LD) based process fitness function incorporating four parameters such energy, distance neighbors, base station, network load. Besides, water wave hill-climbing (WWO-HC) carried out route selection. Extensive experimentation analysis performed ensure energy lifetime performance technique. experimental outcome ensured superior results over compared methods under different aspects.