An Enhanced tree based MAODV Protocol for MANETs using Genetic Algorithm

Multicast routing protocols in Mobile Ad-hoc Networks (MANETs) are emerging for wireless group communication which includes application 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 available, 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. Some of the efficient techniques for solving the problem are optimizing the routing process which in turn increases the delivery of packets and minimizes the overhead. GA and PSO are such optimizing tools used in networks. The key factors that determine the performance of GA is by the well designed architecture of chromosomes and operators in the intelligent algorithm. This paper proposes new genetic algorithm and particle swarm optimization based Multicast Ad-hoc On demand Distance Vector Protocol for MANETs, which improves the packet delivery ratio of the routing messages. The GA and PSO based MAODV allows each node in the network to send out multicast data packets, and the multicast data packets are broadcast when propagating along the multicast group tree.