F²SO: An Energy Efficient Cluster Based Routing Protocol Using Fuzzy Firebug Swarm Optimization Algorithm in WSN

Abstract

The most important design concern associated with wireless sensor networks is energy efficiency that mostly deals with routing and clustering techniques. The major aim of this study is to provide energy efficient cluster routing protocols for wireless sensor network. Initially, we used a Honey Badger Algorithm for cluster heads selection. Honey Badger Algorithm is used to choose the distance to the base station, residual energy, distance to its neighbors, node degree node and centrality with the optimal cluster head among all sensors. The routing between base stations and cluster heads is performed through Fuzzy Firebug Swarm Optimization algorithm. Hence, the fuzzy decision module automatically adjusts the search behavior of firebug swarm optimization. Fuzzy rules are used with the node degree, residual energy and distance to the base station to address the firebug swarm optimization algorithm’s constraints during routing. Finally, cluster maintenance is done which is the major step to eliminate the failure nodes. This process assists to improve the network lifetime during data transmission by eliminating the faulty nodes and establish an efficient path between the source node and the base station. Wide experimentation is accomplished to assess the efficiency of the proposed protocol using different evaluation measures. The proposed methodology offers improved end-to-end delay, increased packet delivery ratio, higher throughput, low packet drop ratio and minimizes energy consumption when compared with the existing wireless sensor network routing protocols.