基于遗传算法的多路径路由优化算法

Baolin Sun, Chao Gui, P. Liu
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引用次数: 27

摘要

移动自组织网络(MANET)是一种动态无线网络,不需要任何预先存在的基础设施就可以形成,其中每个节点都可以充当路由器。由于移动节点的电池电量有限,因此有效地利用MANET中的能量是非常重要的。本文提出了一种基于遗传算法(EMRGA)的能量熵多径路由优化算法。该协议的核心思想是在选择路径的过程中,通过降低节点剩余能量来求出每条路由的最小节点剩余能量。它可以平衡各个节点的电池利用率,从而延长整个网络的寿命和能量变化。实验结果表明,该方法在多径流量工程中具有良好的性能优势,并对动态移动网络中的路由稳定性进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Entropy Multipath Routing optimization algorithm in MANET based on GA
A Mobile Ad Hoc Network (MANET) is a dynamic wireless network that can be formed without the need for any pre-existing infrastructure in which each node can act as a router. Because mobile nodes have limited battery power, it is therefore very important to use energy in a MANET efficiently. In this paper, we provide an energy Entropy Multipath Routing optimization algorithm in MANET based on GA (EMRGA). The key idea of the protocol is to find the minimal node residual energy of each route in the process of selecting path by descending node residual energy. It can balance individual nodes battery power utilization and hence prolong the entire networks lifetime and energy variance. Experimental shows that the approach is efficient, promising performance advantage for multipath traffic engineering and evaluates the route stability in dynamic mobile networks.
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