Cluster Based Routing Protocol Using Energy Centric Multi Objective Salp Swarm Algorithm for WSNs

Wireless Sensor Network (WSN) is an immense collection of low-power, intelligent and multifunctional sensor nodes for sensing and monitoring the environmental conditions. The information collected from sensors are transmitted to the sink or Base Station (BS). The sensors in the WSN use the battery energy and the energy consumption of the nodes are considered as an important constraint in the network. In order to overcome the issue related to the energy consumption, a cluster based routing protocol is developed in the WSN. In this paper, an appropriate Cluster Head (CH) selection and route generation are obtained using the Energy Centric Multi Objective Salp Swarm Algorithm (ECMOSSA). The main objective of using ECMOSSA is to improve the network lifetime of the WSN by minimizing the node's energy consumption. The performance of the proposed ECMOSSA method is evaluated by means of alive nodes, total energy consumption, total packets received by the BS, throughput and network lifetime. Moreover, the ECMOSSA method is evaluated with one classical approach namely Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol as well as this ECMOSSA is compared with Grey Wolf Optimizer (GWO)-Dual Hop Routing (DHR) method and Cat- Salp Swarm Algorithm (C-SSA) to evaluate the efficiency of ECMOSSA. The last node dies (i.e., network lifetime) of the ECMOSSA is 1704 that is high when compared to both the LEACH and GWO-DHR method. © 2021. All Rights Reserved.