基于缓存的移动自组网蚁群路由算法

S. Sathish, K. Thangavel, V. Vaidehi
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引用次数: 8

摘要

移动自组织网络是动态形成的,没有任何基础设施,每个节点负责路由信息。蚁群优化算法用于寻找各种问题的最优解。拓扑结构的变化使得从源到目的的路由动态固定,并随时间变化。网络的性质要求优化算法沿着两个节点之间的路径进行路由发现、路由维护和故障检测。提出了一种基于缓存的移动自组织网络蚁群路由算法,用于构建高度自适应的按需源发起路由算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cache based ant colony routing algorithm for mobile ad hoc networks
Mobile adhoc networks are formed dynamically without any infrastructure and each node is responsible for routing information among them. Ant colony optimization (ACO) algorithms are used to find an optimized solution for various problems. The change in topology makes the route from source to destination as dynamic fixed and changes with respect to time. The nature of network requires the optimized algorithm to perform route discovery, maintain route and detect failure along the path between two nodes. This paper proposes a cache based ant colony routing for mobile ad hoc networks for building highly adaptive and on-demand source initiated routing algorithm.
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