改进MDS-MAP算法在无线传感器网络定位中的性能研究

Xiaoling Sun, Tao Chen, Weiqin Li, Mian Zheng
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引用次数: 7

摘要

基于经典多维尺度(MDS)的算法只需要3或4个锚节点,比其他方案具有更高的精度。但由于其计算量大、能耗大,导致其生命周期较短,因此本文提出了一种改进的无线传感器网络定位算法。它减少了所涉及的距离矩阵,充分利用了具有测距能力的节点。我们在不同通信半径、不同连通性水平和不同锚点数量的方形拓扑下进行了仿真研究。仿真结果表明,改进的MDS比传统的MDS具有更小的位置估计误差和更短的运行时间。最后,提出了使WSN获得最佳网络性能的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perfomance Research of Improved MDS-MAP Algorithm in Wireless Sensor Networks Localization
The algorithms based on classical Multidimensional Scaling (MDS) only need 3 or 4 anchor nodes and can provide higher accuracy than other schemes. But it's high computational complexity and large energy consumption cause its shorter lifecycle, so an improved positioning algorithm for Wireless Sensor Networks (WSN) is presented in the paper. It reduces distance matrix involved and fully uses nodes with ranging capability. We conduct simulation studies under square shaped topologies with different communication radius, different connectivity levels and different number of anchors. Simulation results show that improved MDS provides a lower position estimation error than classical MDS and have less running time. In the end, some parameters are suggested, which can make WSN get the optimal network performance.
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