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Range-free Localization Based on Adaptive Anchor Selection for Wireless Sensor Networks

机译:基于自适应锚点选择的无线传感器网络无范围定位

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摘要

In order to improve the localization accuracy in wireless sensor networks (WSNs), a range-free localization algorithm based on adaptive anchor selection RF-LAAS is proposed in this paper. The adaptive anchor selection performed at sensor nodes takes into account the distance estimation error and the geometric position distribution of each anchor node. Sensor nodes first sort anchor nodes in ascending order according to the distance estimation errors. Then, the geometric dilution of precision (GDOP) metric is used to adaptively select anchor nodes with good geometric position distribution, where the GDOP threshold is determined by the anchor nodes themselves. The selected anchor nodes in each localized node are used for the localization of unknown nodes. Simulations indicate that the proposed algorithm outperforms other algorithms of interest in terms of localization accuracy in both isotropic networks and anisotropic networks.
机译:为了提高无线传感器网络(WSNS)中的定位精度,本文提出了一种基于自适应锚定选择RF-LAA的无距离定位算法。在传感器节点处执行的自适应锚定选择考虑了每个锚节点的距离估计误差和几何位置分布。传感器节点根据距离估计误差根据升序排序锚点节点。然后,使用精度(GDOP)度量的几何稀释来自适应地选择具有良好几何位置分布的锚点节点,其中GDOP阈值由锚节点本身确定。每个本地化节点中的所选锚点用于未知节点的本地化。模拟表明,所提出的算法在各向同性网络和各向异性网络中的定位准确性方面优于其他感兴趣的算法。

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