基于TDOA量化的改进无线传感器网络DV-Hop定位算法

Q. Tang, Jian Wang
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引用次数: 2

摘要

本文提出了一种基于TDOA量化辅助的无线传感器网络中DV-Hop定位算法的改进方法。结合近距离测量时TDOA误差小的特点,对DV-Hop定位算法中节点的跳数进行量化。通过对各锚节点的跳加权和限制跳数的传播,修正各锚节点的平均每跳距离,使其更接近真实值。通过仿真,将改进算法与其他定位方案的性能进行了比较,结果表明改进算法具有更高的效率和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved DV-Hop Localization Algorithm for Wireless Sensor Network Based on TDOA Quantization
In this paper, we propose an improved method of DV-Hop localization algorithm in wireless sensor networks based on the time difference of arrival (TDOA) quantization assisted. The number of hops of the nodes in the DV-Hop localization algorithm is quantified by combining with the low error characteristic of TDOA when measuring close distance. And the average per hop distance of each anchor node is corrected by means of using the hop weighted and limiting the propagation of hops to make it more close to the true value. Through simulations, we compare the performance of improved algorithm with other localization schemes and show that improved algorithm has more efficient and stable performance.
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