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Using Partially Overlapping Channels to Improve Throughput in Wireless Mesh Networks

机译:使用部分重叠的信道来提高无线网状网络的吞吐量

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Wireless mesh networks have attracted great interest in the research community recently. Much effort has been devoted to maximizing the network performance using limited channel resources in a multichannel multiradio wireless mesh network. It is believed that the limited spectrum resource can be fully exploited by utilizing partially overlapping channels in addition to nonoverlapping channels in 802.11b/g networks. However, there are only few studies of channel assignment algorithms for partially overlapping channels. In this paper, we first formulate the optimal channel assignment problem with the goal of maximizing the overall network throughput or maximizing the throughput of a multicast application. For both cases, we present a greedy algorithm for partially overlapping channel assignment, and then propose a novel genetic algorithm, which has the potential to obtain better solutions. Through evaluation, we demonstrate that the overall network throughput can be dramatically improved by properly utilizing the partially overlapping channels. The genetic algorithm outperforms the greedy algorithm in mitigating the network interference, and therefore leads to higher network throughput. In addition, the multicast throughput can also be dramatically improved by using our algorithms compared to previous work.
机译:无线网状网络最近在研究界引起了极大的兴趣。在多信道多无线电无线网状网络中使用有限的信道资源致力于最大化网络性能。可以相信,除了802.11b / g网络中的非重叠信道外,还可以通过利用部分重叠的信道来充分利用有限的频谱资源。但是,对于部分重叠的信道,信道分配算法的研究很少。在本文中,我们首先制定最佳信道分配问题,目的是最大化整体网络吞吐量或最大化多播应用程序的吞吐量。对于这两种情况,我们提出一种用于部分重叠的信道分配的贪婪算法,然后提出一种新颖的遗传算法,它有可能获得更好的解决方案。通过评估,我们证明了通过适当利用部分重叠的信道可以显着提高整体网络吞吐量。遗传算法在减轻网络干扰方面胜过贪婪算法,因此导致更高的网络吞吐量。此外,与以前的工作相比,使用我们的算法还可以显着提高多播吞吐量。

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