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Performance Analysis of 3D-OSSDL and 3D-VCN Localization Algorithms in WSN

机译:WSN中3D-OSSDL和3D-VCN定位算法的性能分析

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摘要

A range-free three dimensional optimum space step distance localization scheme (3D-OSSDL) and a node self-localization algorithm based on virtual central node (VCN) for wireless sensor network (WSN) are proposed in our previous papers. The 3D-OSSDL algorithm is realized by analyzing classic two dimensional DV-Hop localization algorithm. By optimizing distances from the 3D network model, the optimum space step distance from nodes to anchors is obtained and the coordinates of all unknown nodes are derived finally. During the localization process of the VCN algorithm, by deducing a 3D special node in the cube formed by eight anchor nodes, which is called virtual central node, unknown nodes can compute their own positions automatically, fn this paper;a comprehensive performance analysis of OSSDL and VCN are presented to explore their performances. Also comparisons with classic DV-Hop and Centroid algorithms are made under different simulation environments. Two aspects of the performance comparison are addressed: positioning accuracy and computational time. VCN has better estimation accuracy than OSSDL, which is much better than that of DV-Hop. Also VCN costs the least localization time of all.
机译:在先前的论文中,提出了无范围的三维最优空间步距距离定位方案(3D-OSSDL)和基于虚拟中心节点(VCN)的无线传感器网络节点自定位算法。通过分析经典的二维DV-Hop定位算法来实现3D-OSSDL算法。通过优化距3D网络模型的距离,可以获得从节点到锚点的最佳空间步距,并最终得出所有未知节点的坐标。在VCN算法的定位过程中,通过在由八个锚定节点组成的立方体中推导3D特殊节点(称为虚拟中心节点),未知节点可以自动计算自己的位置。介绍VCN和VCN以探讨其性能。在不同的仿真环境下,还可以与经典的DV-Hop和质心算法进行比较。解决了性能比较的两个方面:定位精度和计算时间。 VCN的估计精度比OSSDL好,后者比DV-Hop好得多。此外,VCN花费的本地化时间最少。

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