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A Performance Comparison of Swarm Intelligence Inspired Routing Algorithms for MANETs

机译:MANET的群体智能启发式路由算法性能比较。

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Swarm Intelligence (SI) inspired routing algorithms have become a research focus in recent years due to their self-organizing nature, which is very suitable to the routing problems in Mobile Ad hoc Networks (MANETs), Network topology information can be collected and updated in a distributed and autonomous way via the local interaction among ant-like agents inspired by SI. In this paper we make a comprehensive survey about various SI inspired routing algorithms for MANETs. These algorithms are explained and compared in detail based on a number of network metrics including packet delivery ratio, delay, routing overhead, delay jitter, goodput and throughput etc. It is our hope that the readers can get some hints for their future research work in the realm of SI inspired routing problems from the discussion and simulation results we provide in this paper.
机译:受群体智能(SI)启发的路由算法由于具有自组织特性,近年来已成为研究重点,它非常适合移动自组织网络(MANET)中的路由问题,可以在其中收集和更新网络拓扑信息。通过受SI启发的类似蚂蚁的代理人之间的本地互动,实现一种分布式的自治方式。在本文中,我们对有关MANET的各种受SI启发的路由算法进行了全面的调查。这些算法是根据许多网络指标(包括数据包传输率,延迟,路由开销,延迟抖动,吞吐量和吞吐量等)进行详细解释和比较的。我们希望读者能从中获得一些有关其未来研究工作的提示。 SI的领域从本文提供的讨论和仿真结果中激发了路由问题。

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