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水下传感器网络移动节点定位问题研究
引用本文:胡钢,张瑞,刘晏佳.水下传感器网络移动节点定位问题研究[J].传感技术学报,2012,25(2):268-272.
作者姓名:胡钢  张瑞  刘晏佳
作者单位:河海大学计算机与信息学院(常州);常州市传感网与环境感知重点实验室
基金项目:常州市海事局委托开发项目
摘    要:针对水下传感网中研究较少的移动节点定位问题,基于传统定位中常用的Chan算法,提出了一种改进的M-Chan算法。该算法通过曲线拟合进行运动轨迹预测,并利用节点的移动特性修正估计位置,从而提高了水下移动节点的定位精度。仿真结果表明,在不同的移动速度、通信半径、锚节点密度情况下,改进算法与传统的Chan算法相比,精度提高5%~10%。

关 键 词:水下传感器网络  节点定位  Chan算法  曲线拟合  移动

Research of Location Problems for Mobile Node in Underwater Sensor Network
HU Gang,ZHANG Rui,LIU Yanjia.Research of Location Problems for Mobile Node in Underwater Sensor Network[J].Journal of Transduction Technology,2012,25(2):268-272.
Authors:HU Gang  ZHANG Rui  LIU Yanjia
Affiliation:1,2(1.Computer and Information collage of Hohai University,Changzhou Jiangsu 213022;2.Changzhou Key Laboratory of Sensor Networks and Enviromental Sensing,Changzhou Jiangsu 213022)
Abstract:The underwater WSN mobile node localization problem is directed,about which people are less concerned,and an improved algorithm is proposed based on common Chan algorithm.The new algorithm forecasts trajectory through the curve fitting,and revises the estimated location according to mobility characteristic of nodes,thereby improve the localization accuracy of underwater mobile nodes.The simulation shows that,in different scenarios of speed,communication radius and anchor nodes density,compared with traditional Chan algorithm,the ingenious M-Chan algorithm improves the positioning accuracy by 5%~10%.
Keywords:underwater sensor networks  node localization  Chan algorithm  curve-fitting  mobile
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