PEGASIS - LEACH: Energy Efficient Protocols With Route Optimised Techniques

The ad-hoc deployments of Wireless Sensor Network (WSN) in military operations is to gather information in critical areas where human interaction is limited. To improve the capability of WSN model there is a need to improve the power efficiency of the models. Power Efficient Gathering in Sensor Information Systems (PEGASIS) is tree based whereas Low-Energy Adaptive Clustering Hierarchy (LEACH) is clustering-based protocols which are used to improve the overall efficiency of ad-hoc WSN deployment and also increases the operational capability of the WSN architecture.This paper aims to compare the results of PEGASIS and LEACH which is optimized with Particle swarm optimization (PSO) making it LEACH-PSO protocol. LEACH is optimized with PSO as it works on clustering as these techniques helps it to find the correct cluster head (CH) which will make it more efficient and also improves the overall deployment of the WSN architecture. PSO is stochastic optimizer technique based on the intelligence and movement of swarms therefore it assist in finding the correct CH. PEGASIS works on chain-based flow of information therefore it can be clubbed with ACO which will help in increasing the overall efficiency by identifying the correct leader Head (LH). PEGASIS AND LEACH when clubbed with route optimizing techniques such as Ant Colony Optimizer, PSO and Grey Wolf Optimizer has improved and effective WSN deployment. Simulation is done in MATLAB.