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Efficient localization scheme based on coverage overlapping in wireless sensor networks

机译:无线传感器网络中基于覆盖重叠的高效定位方案

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Localization is an important and active topic in wireless sensor networks. This paper proposes a range free localization scheme based on coverage overlapping. The nodes knowing their locations are called reference nodes and the nodes without the knowledge of their locations are called unknown nodes. In addition, for a reference node, the area within its communication range is called the coverage region. In the proposed scheme, an unknown node identifies the coverage regions in which it is located by collecting beacon information from its neighboring reference nodes. The overlapped area of all the coverage regions should be the area where the unknown node is located in. An overlap point is defined to represent the overlapped area of two coverage regions. Besides, an overlap degree, which is the number of the coverage regions that cover this overlap point, is associated with each overlap point. All the overlap points that are not located in the Estimative Rectangle (ER), which can be derived by applying the CPE algorithm, are discarded. The remaining overlap points are sorted according to their overlap degrees. Moreover, among them, the ones with the maximum overlap degree are averaged and the averaged point is the estimated location of the unknown node. With the proposed mechanism, the reference nodes that cannot contribute to the localization accuracy are excluded, and hence better localization accuracy can be achieved. Experimental results show that the proposed scheme outperforms the related works, including Centroid and CPE algorithms, in term of better localization accuracy.
机译:本地化是无线传感器网络中重要且活跃的主题。本文提出了一种基于覆盖重叠的无范围定位方案。知道其位置的节点称为参考节点,不知道其位置的节点称为未知节点。另外,对于参考节点,其通信范围内的区域称为覆盖区域。在提出的方案中,未知节点通过从其相邻参考节点收集信标信息来标识其所在的覆盖区域。所有覆盖区域的重叠区域应该是未知节点所在的区域。定义一个重叠点以表示两个覆盖区域的重叠区域。此外,重叠度是覆盖该重叠点的覆盖区域的数量,并且与每个重叠点相关联。可以通过应用CPE算法获得的所有不在估计矩形(ER)中的重叠点都将被丢弃。其余的重叠点根据它们的重叠程度进行排序。而且,其中,将具有最大重叠度的那些进行平均,并且该平均点是未知节点的估计位置。利用所提出的机制,排除了对定位精度无贡献的参考节点,从而可以实现更好的定位精度。实验结果表明,该方案具有更好的定位精度,其性能优于相关的工作,包括质心算法和CPE算法。

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