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A novel genetic algorithm for stable multicast routing in mobile ad hoc networks

机译:一种新的遗传算法在移动自组网中稳定的组播路由

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摘要

Data transmission among multicast trees is an efficient muting method in mobile ad hoc networks (MANETs). Genetic algorithms (GAs) have found widespread applications in designing multicast trees. This paper proposes a stable quality-of-service (QoS) multicast model for MANETs. The new model ensures the duration time of a link in a multicast tree is always longer than the delay time from the source node. A novel GA is designed to solve our QoS multicast model by introducing a new crossover mechanism called leaf crossover (LC), which outperforms the existing crossover mechanisms in requiring neither global network link information, additional encoding/decoding nor repair procedures. Experimental results confirm the effectiveness of the proposed model and the efficiency of the involved GA. Specifically, the simulation study indicates that our algorithm can obtain a better QoS mute with a considerable reduction of execution time as compared with existing GAs.
机译:在移动自组织网络(MANET)中,多播树之间的数据传输是一种有效的静音方法。遗传算法(GA)在设计多播树中已发现了广泛的应用。本文提出了一种用于MANET的稳定的服务质量(QoS)组播模型。新模型可确保多播树中链接的持续时间始终比源节点的延迟时间长。一种新颖的GA被设计为通过引入一种称为叶交叉(LC)的新交叉机制来解决我们的QoS多播模型,该交叉机制在不需要全局网络链路信息,附加编码/解码或修复程序的情况下优于现有的交叉机制。实验结果证实了所提模型的有效性和所涉及遗传算法的效率。具体而言,仿真研究表明,与现有GA相比,我们的算法可以获得更好的QoS静音,并且执行时间大大减少。

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