EAPSO_GSA: Energy Aware Routing using Hybrid PSO and Gravitational Search Algorithm in Wireless Sensor Networks
Demand of wireless communication system is increasing rapidly. Wireless Sensor Networks (WSNs) have gained huge attraction due to various real-time applications such as health monitoring, sensitive area monitoring, catastrophesupervision, etc. These networks arenot so highin power resource so energy conservation is very crucial aspect here. Moreover, suchnetworks are deployed in unattended and harsh atmospherewhere power sources cannot be replaced. Hence, prolonging the network lifetime is a tedious task for these networks. Recently, energy ware routing and efficient cluster head (CH) selection techniques have been introduced to mitigate these challenges. In this work, we have focused on energy aware CH selection and routing to enhance the lifetime of network. To achieve this, we present a combined model using PSO i.e. particle swarm optimization and GSA i.e. gravitational search algorithm for CH selection. We compare the performance of proposed approach with existing techniques. The experimental study demonstrates that the presentedscheme improvises the efficiency of network with respect to energy utilization, life of the network, and packet delivery ratio.