一种基于坐标改正的改进DV-Hop定位算法

发布时间：2018-04-14 23:20

本文选题：DV-Hop算法 + 节点定位　；参考：《传感技术学报》2017年10期

【摘要】：为有效提高DV-Hop算法在拓扑随机网络中的定位精度,提出一种利用锚节点定位误差修正未知节点坐标的新方法(PEDV-Hop)。首先定义伪距误差因子剔除对平均跳距计算产生较大误差的锚节点,从而有效抑制网络拓扑随机分布影响,提高平均跳距计算精度;其次,视锚节点为未知节点,在计算平均跳距的同时,运用三边或多边测量法评估自身定位坐标,从而可计算得到锚节点坐标改正值,并将平均跳距与坐标改正值向网络广播;最后,未知节点根据接收到各锚节点的坐标改正值来修正自身定位误差,从而有效提高节点定位精度。仿真结果表明,PEDV-Hop算法实现简单,有效提高了节点的定位精度。
[Abstract]:In order to improve the localization accuracy of DV-Hop algorithm in topological random networks, a new method of correcting unknown node coordinates using anchor node positioning error is proposed.Firstly, the pseudo-range error factor is defined to eliminate the anchor nodes which have a large error in the calculation of the average hopping distance, so that the influence of the random distribution of the network topology is effectively suppressed, and the calculation accuracy of the average hopping distance is improved. Secondly, the anchor nodes are regarded as unknown nodes.At the same time of calculating the mean hop distance, using the trilateral or multilateral measurement method to evaluate its own positioning coordinate, thus the anchor node coordinate correction positive value can be calculated, and the average hop distance and coordinate correction positive value can be broadcast to the network. Finally,The unknown node corrects its positioning error according to the coordinate correction of each anchor node, which effectively improves the positioning accuracy of the node.The simulation results show that the PEDV-Hop algorithm is simple and can effectively improve the location accuracy of nodes.
【作者单位】：南昌航空大学信息工程学院;
【基金】：国家自然科学基金项目(41101426)
【分类号】：TN929.5;TP212.9

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