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On Link Asymmetry and One-Way Estimation in Wireless Sensor Networks

机译:无线传感器网络中的链路不对称和单向估计

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摘要

Link asymmetry is one of the unique challenges that wireless sensor networks pose in the design of network protocols. We observe, based on testbed experiments, that a substantial percentage of links are asymmetric, many are even unidirectional. We also find that the reliability of synchronous acknowledgments is considerably higher than that of asynchronous messages. Thus the norm of estimating link quality bidirectionally via asynchronous beacons underestimates the link reliability of asymmetric links. This leads us to investigate how to exploit asymmetric links in order to improve network functions such as convergecast routing in sensor networks via one-way link estimation. We propose a new one-way link metric ETF (for the expected number of transmissions over forward links) and present a local procedure for its estimation. We use ETF to identify reliable forward links, and we use dynamic retransmission thresholding for error control. Via experiments on testbeds of CC1000 radios and CC2420 radios (an IEEE 802.15.4-compliant radio), we quantify the performance improvement in ETF as compared with ETX. We also study the performance improvement of ETF over ETX when no special mechanism is employed to discover asymmetric links or to control retransmissions.
机译:链路不对称是无线传感器网络在网络协议设计中面临的独特挑战之一。根据测试平台的实验,我们观察到很大比例的链接是不对称的,许多链接甚至是单向的。我们还发现,同步确认的可靠性大大高于异步消息的可靠性。因此,通过异步信标双向估计链路质量的准则低估了非对称链路的链路可靠性。这使我们研究了如何利用非对称链路来改善网络功能,例如通过单向链路估计来改善传感器网络中的收敛广播路由。我们提出了一种新的单向链路度量ETF(用于通过前向链路进行的预期传输次数),并提出了进行估计的本地程序。我们使用ETF识别可靠的前向链接,并使用动态重传阈值进行错误控制。通过在CC1000无线电和CC2420无线电(符合IEEE 802.15.4的无线电)的测试平台上进行的实验,我们量化了与ETX相比ETF的性能提高。当没有采用特殊机制来发现不对称链接或控制重传时,我们还将研究ETF通过ETX进行性能改进。

著录项

  • 来源
    《ACM transactions on sensor networks》 |2010年第2期|p.12.1-12.25|共25页
  • 作者单位

    Department of Computing Science and Engineering, The Ohio State University, Columbus, OH 43210;

    rnDepartment of Computing Science and Engineering, The Ohio State University, Columbus, OH 43210;

    rnDepartment of Computer Science, Wayne State University, Detroit, MI 48202;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sensor network; link estimation; routing;

    机译:传感器网络链路估计;路由;

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