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An Ad Hoc Routing Algorithm of Low-Delay Based on Hybrid Particle Swarm Optimization

机译:基于混合粒子群算法的低延迟Ad Hoc路由算法

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摘要

In the Ad Hoc Network of high mobility currently,there exists the problem of the high delay. This paper proposes to apply Particle Swarm Optimization (PSO) strategy to improve this problem. Firstly, we present a hybrid particle swarm optimization (HPSO) algorithm combining genetic algorithm (GA), which is suitable to be used in a routing protocol, and then establish an on-demand routing protocol based on the novel algorithm. Next, we realize this protocol on the platform of OPNET and make simulation experiments. Compared with AODV that is a preferable Ad Hoc on-demand routing protocol,the results show that the routing protocol based on HPSO decreases greatly the network delay in the high mobility environment.
机译:当前,在高移动性的Ad Hoc网络中,存在高时延的问题。本文提出应用粒子群优化(PSO)策略来解决这个问题。首先,提出一种适用于路由协议的混合遗传算法(HPSO)结合遗传算法(GA)的混合算法,然后基于该新算法建立按需路由协议。接下来,我们在OPNET平台上实现该协议并进行仿真实验。结果表明,与基于AOSO的路由协议相比,AODV是一种更好的Ad Hoc随选路由协议。

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