Lifetime Enhancement of Wireless Sensor Networks by using Sine Cosine optimization Algorithm

Wireless sensor networks (WSNs) have numerous applications from the measurements of atmospheric quantity, tracking to the various medical applications. Sensor nodes in the networks are mostly battery powered and they are having limited lifetime as it is not always feasible to replace their battery. To overcome this constraint of energy various energy management scheme have been proposed and implemented. In this paper we have used Sine Cosine Algorithm (SCA) in routing and clustering for enhancing the working lifetime of WSNs. As the cluster head (CH) in the networks having more energy expenditure so we have also used some higher energy nodes to perform CHs operations for the enhancement of the lifetime. We have compared the results with the other algorithms namely particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and least distance clustering (LDC) algorithm. Results are also have been studied after moving the base station at different locations.