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An Intelligent Multicast Ad-hoc On demand Distance Vector Protocol for MANETs
Journal Title Journal of Networks
Journal Abbreviation jnw
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title An Intelligent Multicast Ad-hoc On demand Distance Vector Protocol for MANETs
Authors Vasudevan, V.; Baburaj, E.
Abstract Recently multicast ro uting protocols in Mobile Ad-hoc Networks (MANETs) are emerging for wireless group communication. This 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 based on the random mobility of network nodes, unlike the network topology of a wired network which is static.Multicast routing protocol outperforms the basic broadcast routing by sharing the resources along general links, while sending information to a set of predefined multiple destinations in a concurrent way. 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. So it is the dire need to solve the problem optimally. One of the efficient techniques for solving the optimization problem is the Genetic Algorithm (GA). 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 a new genetic algorithm based Multicast Ad-hoc On demand Distance Vector Protocol for MANETs (GA-MAODV), which improves the packet delivery ratio of the routing messages. The GAbased 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.
Publisher ACADEMY PUBLISHER
Date 2008-06-01
Source Journal of Networks Vol 3, No 6 (2008)
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