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Performance analysis of VCN and CFOSSDL localization algorithms in wireless sensor networks

机译:无线传感器网络中VCN和CFOSSDL本地化算法的性能分析

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A node self-localization algorithm based on virtual central node (VCN) and another CF_OSSDL method which stems from classic DV-Hop propagation algorithm are proposed respectively in our papers before. In this paper comprehensive analysis of the two algorithms are listed. In VCN algorithm, by deducing a 3D special node, which is called the virtual central node, unknown nodes can compute their own positions automatically. Differently in CF_OSSDL algorithm, by computing optimum space step distance between unknown nodes and anchor nodes in which sole correction factor of each unknown node is added (CF_OSSDL), all nodes with no position coordinates can realize self-localizing. The localization mechanism has been implemented in Matlab simulation software. Simulating experiments are made to explore the two range-free localization algorithms. The effectiveness and robustness of algorithms are clearly demonstrated through extensive simulation results.
机译:以前分别提出了基于虚拟中心节点(VCN)的节点自定位算法和另一种基于经典DV-Hop传播算法的CF_OSSDL方法。本文列出了两种算法的综合分析。在VCN算法中,通过推导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。与CF_OSSDL算法不同的是,通过计算未知节点与锚节点之间的最佳空间步距,其中添加了每个未知节点的唯一校正因子(CF_OSSDL),所有没有位置坐标的节点都可以实现自定位。定位机制已在Matlab仿真软件中实现。进行了仿真实验,以探索两种无范围的定位算法。通过广泛的仿真结果清楚地证明了算法的有效性和鲁棒性。

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