一种面向manet的按需智能组播路由协议

E. Baburaj, V. Vasudevan
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引用次数: 9

摘要

移动自组织网络(manet)中的组播路由协议是为无线组通信而出现的,包括多点数据分发和多方会议等应用,这使得移动自组织网络的分析设计和开发非常高效。对于manet,有几种组播路由协议可用,但它们仅在特定场景下表现良好。与静态的有线网络不同,由于网络节点的随机移动,MANET的拓扑结构会发生充分的变化。由于多径和组播结构缺乏冗余,组播路由协议在ad-hoc网络中容易受到组件失效的影响。因此,路由选择成为manet中的一个悲剧。因此,优化路线选择是迫切需要的。遗传算法是一种优化工具,决定遗传算法性能的关键因素是遗传算法中染色体和算子的结构设计。本文提出了一种基于需求组播路由协议(GA-ODMRP)的遗传算法,提高了路由消息的性能。GA-ODMRP非常适合拓扑变化频繁且功率受限的移动自组织网络。我们评估了GA-ODMRP在各种现实场景下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Intelligent on Demand Multicast Routing Protocol for MANETs
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. Due to this fact, route selection becomes a tragedy in MANETs. So it is the dire need to optimize the route selection. GA is an optimizing tool and its key factors that determine the performance of GA is by the well designed architecture of chromosomes and operators in the intelligent algorithm. In this paper we attempt to propose a new genetic algorithm based on demand multicast routing protocol (GA-ODMRP), which improves the performance in the routing messages. GA-ODMRP is well suited for mobile ad hoc networks where the topology changes frequently and power is constrained. We evaluate GA-ODMRP performance under various realistic scenarios.
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