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Detour Path Angular Information based Sensor Localization with Single Hop RSSI Measurement based Distance Calculation in Wireless Sensor Network

机译:无线传感器网络中基于绕行路径角信息的传感器定位与单跳基于RSSI测量的距离计算

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摘要

The position accuracy of range free localization is a fundamental problem in Wireless Sensor Networks (WSNs). The accuracy of the localization algorithm greatly depends on the distance estimation between an anchor node and a sensor node, which impacts the performance of the localization dependent protocols and applications, such as routing and storage. In this paper we propose a novel scheme called Detour Path Angular Information (DPAI) based range free sensor localization with single hop Received Signal Strength Indication (RSSI) measurement based distance calculation, which can greatly reduce the localization error in the irregular deployment areas. We estimate the average hop distance by selecting the middle of the transmission path between every two anchor pairs one by one. Then the estimated hop distance is adjusted by the angle between the anchor pairs to that selected middle point. The anchor node also uses RSSI distance to finally adjust the average hop distance. The method of calculation of angle of the detour path is totally conducted in the anchor nodes. Based on the angle of the detoured path, our algorithm determines whether the path is isotropic or detoured by anisotropic factors. Our proposed algorithm does not require any global knowledge of network topology to tolerate the network anisotropy. Also it does not require the high sensor node density for higher localization accuracy. The simulation results show that DPAI achieves significant improvement in localization accuracy both in isotropic and anisotropic WSNs even with few anchor nodes such as 10% of total nodes.
机译:无范围定位的位置精度是无线传感器网络(WSN)中的一个基本问题。定位算法的准确性很大程度上取决于锚节点和传感器节点之间的距离估计,这会影响依赖于定位的协议和应用程序(例如路由和存储)的性能。在本文中,我们提出了一种基于绕行路径角信息(DPAI)的无距离传感器定位新方案,该方案基于单跳接收信号强度指示(RSSI)测量的距离计算,可以大大减少不规则部署区域中的定位误差。我们通过选择每两个锚点对之间的传输路径的中间位置来估计平均跳距。然后,通过锚点对与所选中点之间的角度调整估计的跳距。锚节点还使用RSSI距离最终调整平均跳距。绕行路径角度的计算方法完全在锚节点中进行。基于the回路径的角度,我们的算法确定路径是各向同性还是因各向异性因素而ed回。我们提出的算法不需要任何网络拓扑知识就可以容忍网络各向异性。同样,它不需要较高的传感器节点密度即可获得更高的定位精度。仿真结果表明,DPAI在各向同性和各向异性WSN中均实现了定位精度的显着提高,即使锚点很少,例如占总节点的10%。

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  • 来源
    《電子情報通信学会技術研究報告》 |2012年第403期|p.165-170|共6页
  • 作者单位

    Graduate School of Global Information and Telecommunication Studies, Waseda University, Nishi-Waseda, Shinjuku-ku, Tokyo, Japan 169-0051;

    Graduate School of Global Information and Telecommunication Studies, Waseda University, Nishi-Waseda, Shinjuku-ku, Tokyo, Japan 169-0051;

    Graduate School of Global Information and Telecommunication Studies, Waseda University, Nishi-Waseda, Shinjuku-ku, Tokyo, Japan 169-0051;

    Graduate School of Global Information and Telecommunication Studies, Waseda University, Nishi-Waseda, Shinjuku-ku, Tokyo, Japan 169-0051;

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