摘要
现有的二维质心算法不能有效应用于三维无线传感器网络,针对这一问题,提出了基于虚拟节点的三维质心定位算法(Virtual centroid-3D).该算法将二维质心算法和三维网络模型相结合,在此基础上求出包含未知节点的四面体并引入虚拟节点的概念.运用这一方法,在设置相同的锚节点前提下,可以提供更多的已知节点,从而提高节点的定位精度.仿真结果表明该算法可显著减小定位误差,并能够高效地适应节点分布不均的三维网络环境.
Most existing 2D centroid localization algorithms can not be efficiently applied in 3D wireless sensor networks （WSNs） .To address this problem ,this paper proposes a novel 3D centroid localization algorithm （Virtual centroid-3D） .We combine 2D centroid localization algorithms and 3D network model ,building upon which we calculate the tetrahedral that contains unknown nodes ,and then introduce the concept of virtual nodes .In this way , given the same number of anchor nodes ,the proposed method can provide more known nodes ,as a result to improve node location accuracy .Our simulation results show that the proposed algorithm can significantly reduce positioning errors and can efficiently adapt to the uneven distribution in 3D network environment .
出处
《微电子学与计算机》
CSCD
北大核心
2014年第5期1-5,共5页
Microelectronics & Computer
基金
国家自然科学基金项目(60673185
61073197)
江苏省自然科学基金项目(BK2010548)
江苏省科技支撑计划(工业)项目(BE2011186)
关键词
无线传感器网络
三维定位
质心算法
虚拟节点
wireless sensor networks
3D position
centroid algorithm
virtual node
