Impact of HGAPSO in Optimizing Tree Based Multicast Routing Protocol for MANETs

Multicast communication in Mobile Ad-hoc Networks (MANETs) is emerging for wireless group communication which includes applications such as multipoint data dissemination and multiparty conferencing which made the analytical design and development of the MANETs in a very efficient manner. For MANETs there are several multicast routing protocols are proposed, but they perform well under specific scenarios only. The topology of a MANET changes adequately due to the random mobility of network nodes, unlike the wired network which is static. Due to the lack of redundancy in multipath and multicast structures, the multicast routing protocols are vulnerable to the component failure in ad-hoc networks. Due to this fact, route selection becomes a tragedy in MANETs. So it is the dire need to optimize the route selection procedure. HGAPSO is an emerging hybrid optimizing tool that is used to find an optimum solution among a population of possibilities. In this paper we attempt to propose a new HGAPSO (Hybrid Genetic Algorithm Particle Swarm Optimization) based optimized MAODV, which improves the performance in the routing messages for multicast applications.