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A Cluster-Based and Range-Free Multidimensional Scaling-MAP Localization Scheme in WSN

机译:基于群集和无距离的多维多维缩放 - MAP定位方案在WSN中

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As using traditional MDS-MAP algorithm to locate nodes' position in irregular WSN leads to low positional accuracy, based on this fact, this chapter presents an improved algorithm named MDS-MAP(C, RF). The algorithm can effectively divide a WSN into several clusters, and each cluster locates all nodes' position in it and forms a local position map. After all clusters get local position maps, the algorithm merges all the local position maps together using the information of inter-cluster nodes. Simulations demonstrate the proposed algorithm yields smaller accuracy error in irregular WSN.
机译:由于使用传统的MDS-MAP算法在不规则的WSN中定位节点的位置导致低位置精度,基于此事实,本章介绍了一个名为MDS-MAP(C,RF)的改进算法。该算法可以有效地将WSN划分为多个集群,并且每个群集将所有节点位于其中并形成本地位置图。在所有集群获取本地位置映射之后,算法使用群集间节点的信息合并所有本地位置映射。仿真展示了所提出的算法在不规则的WSN中产生更小的精度误差。

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