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A Performance Comparison of Swarm Intelligence Inspired Routing Algorithms for MANETs

机译:扇形群体智能灵感布线算法的性能比较

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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:Swarm Intelligence(SI)灵感的路由算法近年来由于它们的自组织性质,这是一个非常适合移动临时网络(船只)中的路由问题非常适合。网络拓扑信息可以通过Si的抗蚂蚁类代理之间的本地交互来收集和更新,并以分布式和自主方式更新。在本文中,我们对船只的各种SI启发路由算法进行了全面的调查。这些算法是基于许多网络指标的详细解释和比较,包括分组传递比,延迟,路由开销,延迟抖动,净化和吞吐量等。我们希望读者能够为他们未来的研究工作获得一些提示SI的领域启发了我们在本文中提供的讨论和仿真结果的路由问题。

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