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首页> 外文期刊>The Journal of Supercomputing >Rematch: a highly reliable scheduling algorithm on heterogeneous wireless mesh network
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Rematch: a highly reliable scheduling algorithm on heterogeneous wireless mesh network

机译:重新匹配:异构无线网状网络上高度可靠的调度算法

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In highly dynamic and heterogeneous wireless mesh networks (WMN), link quality will seriously affect network performance. Two challenges hinder us from achieving a highly efficient WMN. One is the channel dynamics. As in real network deployment, channel qualities are changing over time, which would seriously affect network bandwidth and reliability. Existing works are limited to the assumption that link quality values are fixed, and optimal scheduling algorithms are working on the fixed values, which would inevitably suffer from the link quality dynamics. Another challenge is the channel diversity. In single channel wireless networks, channel assignment and scheduling are -hard. And in multichannel wireless networks, it could be even harder for higher throughput and efficient scheduling. In this study, we firstly characterize the stochastic behavior on wireless communications in a Markov process, which is based on statistical methodology. Secondly, on exploiting the stochastic behavior on wireless channels, we propose a stochastic programming model in achieving maximized network utilization. Considering the -hardness, we propose a heuristic solution for it. The key idea in the proposed algorithm is a two-stage matching process named “Rematch.” Indeed, our solution to the stochastic network scheduling is a cross-layer approach. Also, we have proved that it is 2-approximate to the optimal result. Moreover, extensive simulations have been done, showing the efficiency of “Rematch” in highly dynamic and distributed wireless mesh networks. Keywords Wireless mesh network - Heuristic - Matching algorithm - Distributed algorithm - Stochastic programming
机译:在高度动态和异构的无线网格网络(WMN)中,链路质量将严重影响网络性能。有两个挑战阻碍我们实现高效的WMN。一种是渠道动态。与在实际网络部署中一样,信道质量会随着时间而变化,这将严重影响网络带宽和可靠性。现有工作限于链路质量值是固定的,并且最优调度算法正在该固定值上进行的假设,这不可避免地会受到链路质量动态的影响。另一个挑战是信道多样性。在单通道无线网络中,通道分配和调度很困难。在多通道无线网络中,要实现更高的吞吐量和高效的调度,可能会变得更加困难。在这项研究中,我们首先描述了基于统计方法的马尔可夫过程中无线通信的随机行为。其次,在利用无线信道上的随机行为的基础上,我们提出了一种随机编程模型来实现网络利用率的最大化。考虑到-hardness,我们提出了一种启发式解决方案。提出的算法中的关键思想是一个称为“重新匹配”的两阶段匹配过程。确实,我们对随机网络调度的解决方案是一种跨层方法。而且,我们已经证明它是最佳结果的2近似值。此外,已经进行了广泛的仿真,显示出在高度动态和分布式无线网状网络中“重新匹配”的效率。关键词无线网状网络启发式匹配算法分布式算法随机规划

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