An Exploration into Energy Efficient Algorithms Based on the Techniques of Particle Swarm Optimization in MANET

Abstract

This paper throws understanding into nature inspired meta-heuristic algorithm; Particle Swarm Optimization based technique in designing various energy efficient MANET routing algorithms. Mobile ad hoc network (MANET) is a framework-less system of self-directed mobile nodes. Owing to the dynamic topological property of MANET, it’s very rigid task to calculate the performance of routing protocol under unpredictable network conditions and the performance of the network will degrade. The performance of Mobile Ad-hoc network is measured by metrics such as packet delivery ratio, battery power and total delay in delivery. Regular variation in topology affect route selection and lifespan of network, hence it is essential to optimize these metrics parameters. There are various protocols developed for routing. These routing paths are established to send data packets through the shortest path without a satisfying multi-objective approach. The purpose of the research is to discuss different approaches of swarm based intelligence routing algorithms used in MANET under dynamic conditions by comparing the measured metrics and to design a novel effective PSO based routing procedure for MANET.