Salp Swarm Algorithm for Hierarchical Cluster Head Selection in Wireless Sensor Networks

The sensor nodes are positioned in random locations for monitoring the environmental conditions in WSN. The sensor nodes are cooperatively passed the entire information to BS. The sensor node is operated by using the battery sources and also used to perform sensing, computing, and communication. These processes need additional energy for data processing and affect the lifetime of the network. The clustering method provides an efficient solution for handling the network lifetime issue. In this paper, the salp swarm optimization is introduced in the LEACH-C to choose an effective CH. The proposed algorithm is mimicked by the salp behavior in the ocean for generating the salp chain. The salp chain is generated by using the leaders and followers for balancing the exploitation and exploration phases of optimization. Salp swarm algorithm is used to select the higher residual energy of the node and minimum distance between node and base station for CH selection. The proposed methodology is evaluated with energy consumption and network lifetime. The proposed method extends the lifetime of the network and minimizes energy utilization.