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Multihop Range-Free Localization with Approximate Location Area for Anisotropic Networks

机译:各向异性网络的近似位置区域多跳无范围定位

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This paper presents a novel multihop range-free localization algorithm tailored for anisotropic network. To mitigate the effect of network anisotropy, an approximate location area for each normal node is determined by using geographic information obtained from anchors at known locations. Using the approximate location area, a new distance estimation approach that is able to obtain the maximum estimation error is then introduced. The location of each normal node is computed with weighted least square estimation (WLSE) by taking into account the maximum distance estimation errors. The superiority of the proposed algorithm is validated over existing algorithms through extensive simulations.
机译:本文提出了一种针对各向异性网络量身定制的新颖的多跳无范围定位算法。为了减轻网络各向异性的影响,通过使用从已知位置的锚点获得的地理信息来确定每个正常节点的近似位置区域。然后,使用近似位置区域,引入一种能够获得最大估计误差的新距离估计方法。通过考虑最大距离估计误差,使用加权最小二乘估计(WLSE)计算每个法线节点的位置。通过广泛的仿真,与现有算法相比,所提出算法的优越性得到了验证。

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