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Analyzing the impact of retransmission timeout bounds in wireless mesh networks

机译:在无线网状网络中分析重传超时界的影响

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Efficient estimation of retransmission timeout exhibits a fundamental impact on reliable transmissions of data in wireless mesh networks. Several approaches estimate retransmission timeouts for data transmissions over wired and wireless links mainly based on outcomes of already attempted data transmissions. These estimated retransmission timeouts possess significant variation over wireless links due to the unreliable nature of wireless medium. Therefore, estimation based on experience may sometime generate such retransmission timeout values that may not be feasible at any real data transmission attempt. This sort of values may result in unnecessary delay in case of unsuccessful transmission in wireless mesh networks. Therefore, to make the estimation more pragmatic, all the approaches utilize lower and upper bounds of retransmission timeouts to confine them within feasible range during the estimation. All the approaches adopt fixed values for these bounds without any significant analysis of their optimal values. However, adjusting these values may result in significant improvement in performance of wireless mesh networks. Therefore, we present a thorough analysis of the impact of variations of lower and upper bounds on wireless mesh network performance. We adopt network throughput and average energy per bit as our metrics of network performance during the analysis. We simulate wireless mesh networks in the simulator ns-2 and separately analyze the impacts of lower and upper bounds of retransmission timeouts to show that we can get optimal points for both of them.
机译:重传超时的有效估计对无线网状网络中数据的可靠传输表现出基本影响。几种方法主要基于已经尝试的数据传输的结果而估计有线和无线链路上的数据传输的重传超时。由于无线介质的不可靠性,这些估计的重传超时具有对无线链路的显着变化。因此,基于经验的估计可以在某些时候生成这样的重发超时值,这可能在任何真实数据传输尝试中可能不可行。在无线网状网络中传输不成功的情况下,这种值可能导致不必要的延迟。因此,为了使估计更加务实,所有方法都利用了重传超时的较低和上限,在估计期间将它们限制在可行的范围内。所有方法都采用了这些界限的固定值,而无任何显着分析其最佳值。但是,调整这些值可能导致无线网状网络性能的显着改善。因此,我们对无线网状网络性能的下限和上限变化的影响彻底分析。我们通过在分析期间采用网络吞吐量和平均能源作为我们的网络性能指标。我们模拟了模拟器NS-2中的无线网状网络,并分别分析了重传超时的下限和上限的影响,以显示我们可以获得它们两个的最佳点。

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