摘要
为了提高无线传感器网络的节点定位精度,提出了基于DV-Hop误差修正的质心定位算法.针对煤矿井下巷道的线型结构,首先提出信标节点以均匀间隔交叉分布的模型,再根据各个信标节点平均每跳的距离误差以及平均每跳的单位距离误差,对离未知节点最近的3个信标节点之间的距离进行2次修正,最后利用3圆交点的质心定位算法进行定位.仿真结果表明,该算法比目前的定位精度提高1m左右,比较适合煤矿井下这种特定的线型结构.
In order to improve the nodes localization accuracy in wireless sensor networks, A centroid localization algo- rithm based on DV-Hop error correction is proposed, with the aim of the special tunnel structure in underground coal mine, beacon nodes are decorated in uniform interval cross layout firstly; Then the average hop-distance error and the average one-hop unit distance error of every beacon node which is used for revising the nearest three beacon nodes twice to the unknown nodes; Finally the centroid localization algorithm is used to locate. Many simulations result that this algorithm has the 1 meter higher localization precision than that of other algorithms, so it is more suitable for this special linear model in underground coal mine.
出处
《河南师范大学学报（自然科学版）》
CAS
北大核心
2014年第1期53-56,共4页
Journal of Henan Normal University(Natural Science Edition)
基金
国家自然科学基金(61077037)
河南师范大学国家大学生创新性实验计划资助项目(201210476041)
