Genetic Algorithm Based Power Aware Multicast Routing Strategies in Wireless Ad-hoc Network

Abstract

The mobile ad hoc network is self organized and infrastructure less wireless network where the nodes are randomly distributed and having dynamic topology. In a similar way the normal world is huge, dynamic, extraordinarily different and extremely complex. In MANET, mobile node battery energy is limited and represents one of the important constraints for designing multicast routing protocols. In regards to the battery lifetime limitation in supporting multicast routing, some studies have given a Genetic algorithm solution for saving power. Limited link, path constraints, and mobility of network hosts make the multicast routing protocol design particularly challenging in wireless ad hoc networks. In spite of the intrinsic difficulties of getting by in such a world, biological organisms evolve self repair, explore and self organize. Genetic algorithms have been proven to be an efficient technique for solving the optimization problem, in which well-designed chromosomes and appropriate operators are key factors that determine the performance of the GA. In this paper we investigate different multicast routing protocols, and provide the study of problems identified in these routing as our literature collection.