结合共线性因素的无线传感器网络DV-Hop定位算法

发布时间：2018-05-16 07:58

本文选题：无线传感器网络 + 节点定位　；参考：《东北大学学报(自然科学版)》2014年10期

【摘要】：无线传感器网络的锚节点近似位于同一条直线上时,构成共线性现象,造成定位数据失真和精度下降.针对大规模无线传感器网络的非测距定位,结合共线性因素提出了一种DV-Hop定位算法,引入Voronoi图将网络划分成若干区域,依据共线性进行锚节点组的选取和提纯.根据跳数阈值的限制,利用每块区域的锚节点信息和符合共线性原理条件的锚节点信息对未知节点进行定位.仿真实验表明,与传统的DV-Hop和共线性算法相比,所提算法能够提高节点定位精度、减少定位误差;对于分布不均匀的网络,能够实现高精度节点定位,并适用于较复杂的环境.
[Abstract]:When the anchor nodes of wireless sensor networks are located in the same straight line, they form a collinear phenomenon, resulting in the distortion of location data and the decrease of accuracy. This paper presents a DV-Hop localization algorithm for large-scale wireless sensor networks based on co-linear factors. The network is divided into several regions by introducing Voronoi diagram. The anchor node group is selected and purified according to collinearity. According to the limit of hops threshold, the anchor node information of each region and the anchor node information according to the collinearity principle are used to locate the unknown nodes. The simulation results show that compared with the traditional DV-Hop and collinear algorithm, the proposed algorithm can improve the accuracy of node location and reduce the location error, and for the network with uneven distribution, it can achieve high precision node location, and it is suitable for more complex environment.
【作者单位】：东北大学信息科学与工程学院;
【基金】：国家自然科学基金资助项目(61273078) 中国博士后科学基金资助项目(2012M511164,2014T70263) 中央高校基本科研业务费专项资金资助项目(N130404023)
【分类号】：TN929.5;TP212.9

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