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首页> 外文期刊>Wireless personal communications: An Internaional Journal >A Multi-Objective Optimization Approach for Joint Channel Assignment and Multicast Routing in Multi-Radio Multi-Channel Wireless Mesh Networks
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A Multi-Objective Optimization Approach for Joint Channel Assignment and Multicast Routing in Multi-Radio Multi-Channel Wireless Mesh Networks

机译:多无线电多信道无线Mesh网络中联合信道分配和组播路由的多目标优化方法

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摘要

Multicast routing is an effective mechanism for delivering data to a group of receivers. Due to intrinsic property of air medium in wireless mesh networks (WMN), interference is an important issue in determining the data rate for multicast services. Interference reduction is handled by assigning multiple orthogonal channels to multiple radios in multi-radio multi-channel WMNs. Channel assignment is known to be a NP-complete problem. Most prior methods have solved multicast routing and channel assignment problems sequentially and have not considered the interplay between these two problems. Focusing on this issue, we address joint channel assignment and routing problem for multicast applications. In this paper, a novel technique based on a multi-objective genetic algorithm is proposed to build a delay constrained minimum cost multicast tree with minimum interference. We have examined the proposed algorithm on different network configurations. Experimental results demonstrate that our method finds better trees in terms of cost, delay, and interference compared to prior methods.
机译:组播路由是一种将数据传递到一组接收器的有效机制。由于无线网状网络(WMN)中空中介质的固有属性,在确定多播服务的数据速率时,干扰是重要的问题。通过将多个正交信道分配给多无线电多信道WMN中的多个无线电来处理干扰减少。已知信道分配是一个NP完全问题。大多数现有方法已经顺序地解决了多播路由和信道分配问题,并且没有考虑这两个问题之间的相互作用。着眼于此问题,我们解决了多播应用程序的联合通道分配和路由问题。本文提出了一种基于多目标遗传算法的新技术,以建立具有最小干扰的时延约束最小代价组播树。我们已经研究了在不同网络配置下的建议算法。实验结果表明,与现有方法相比,我们的方法在成本,延迟和干扰方面可以找到更好的树。

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