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On accurate measurement of link quality in multi-hop wireless mesh networks

机译:关于多跳无线网状网络中链路质量的准确测量

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摘要

This paper presents a highly efficient and accurate link-quality measurement framework, called EAR (Efficient and Accurate link-quality monitoR), for multi-hop wireless mesh networks, that has several salient features. First, it exploits three complementary measurement schemes: passive, cooperative, and active monitoring. EAR maximizes the measurement accuracy by (i) dynamically and adaptively adopting one of these schemes and (ii) opportunistically exploiting the nicast application traffic present in the network, while minimizing the measurement overhead. Second, EAR effectively identifies the existence of wireless link asymmetry by measuring the quality of each link in both directions of the link, thus improving the utilization of network capacity by up to 114%. Finally, its reliance on both the network layer and the IEEE 802.11-based device driver solutions makes EAR easily deployable in existing multi-hop wireless mesh networks without system recompilation or MAC firmwaremodification. EAR has been evaluated extensively via both ns-2-based simulation and experimentation on our Linux-based implementation. Both simulation and experimentation results have shown EAR to provide highly accurate link-quality measurements with minimum overhead.
机译:本文提出了一种用于多跳无线网状网络的高效,准确的链路质量测量框架,称为EAR( Efficient and Accurate link-quality monito R),该框架具有多个显着特征。首先,它采用了三种互补的测量方案:被动,协作和主动监视。 EAR通过(i)动态和自适应地采用这些方案之一,以及(ii)机会性地利用网络中存在的 nicast 应用流量,从而最大程度地提高了测量精度,同时使测量开销最小化。其次,EAR通过在链路的两个方向上测量每个链路的质量来有效地识别无线链路不对称性的存在,从而将网络容量的利用率提高多达114%。最后,它对网络层和基于IEEE 802.11的设备驱动程序解决方案的依赖使EAR可以轻松部署到现有的多跳无线网状网络中,而无需重新编译系统或修改MAC固件。通过基于 ns -2-的仿真和基于Linux的实现的实验,对EAR进行了广泛的评估。仿真和实验结果均显示EAR以最小的开销提供了高精度的链路质量测量。

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