改进的无线传感器网络无偏距离估计与节点定位算法

发布时间：2018-04-20 03:18

本文选题：无线传感器网络 + 距离估计　；参考：《西安交通大学学报》2014年06期

【摘要】：针对无线传感器网络中基于跳数的节点定位算法不能满足无偏距离估计、节点定位误差大的问题,提出了一种改进的无偏距离估计与节点定位算法(UEDV-hop,Unbiased Estimation DV-hop)。该算法分析期望距离和跳数的关系,建立一种新的期望距离与跳数模型,根据节点通信半径是否已知分别推导了两种UEDV-hop的求解形式。仿真实验结果表明:所提的两种UEDV-hop算法的估计距离在不同跳数时都近似等于该跳期望距离,算法在距离估计和节点定位精度上相对于DVhop(Distance Vector-hop)算法及基于最小二乘法改进的DV-hop算法都有较大提高,在节点数目等于2 500时,UEDV-hop算法的估计距离误差比DV-hop算法降低了9.5%,定位精度提高了55%。
[Abstract]:In order to solve the problem that the node location algorithm based on hops can not satisfy the unbiased distance estimation and the node location error is large, an improved unbiased Estimation DV-hophopan and an improved unbiased distance estimation algorithm are proposed. The algorithm analyzes the relationship between the expected distance and the number of hops, and establishes a new model of the expected distance and the number of hops. According to whether the node communication radius is known or not, two kinds of UEDV-hop solutions are derived. The simulation results show that the estimated distance of the proposed two UEDV-hop algorithms is approximately equal to the expected distance of the hops when the number of hops is different. Compared with the DVhop(Distance Vector-hops algorithm and the improved DV-hop algorithm based on the least square method, the distance estimation and node positioning accuracy of the algorithm are greatly improved. When the number of nodes is equal to 2,500, the estimated distance error of UEDV-hop algorithm is 9.5 less than that of DV-hop algorithm, and the positioning accuracy is improved by 55.
【作者单位】：西安交通大学电子与信息工程学院;
【基金】：国家自然科学基金资助项目(61105021,61071217) 教育部高等学校博士学科点专项科研基金资助项目(20110201110010)
【分类号】：TP212.91

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