###
计算机系统应用英文版:2017,26(4):186-191
本文二维码信息
码上扫一扫!
DV-Hop定位算法误差分析与优化
(1.安徽理工大学 电气与信息工程学院, 淮南 232001;2.安徽理工大学 计算机科学与工程学院, 淮南 232001)
Error Analysis and Improvement of DV-Hop Location Algorithm
(1.School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China;2.School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 232001, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1689次   下载 3908
Received:July 25, 2016    Revised:September 23, 2016
中文摘要: 传感器节点在森林、水下等复杂环境下进行数据采集时,由于信号强度与信号传输速度受到障碍物或传输介质的干扰,影响了基于信号信息的定位算法的测量精度. 同时考虑到节点的成本和节点的动态性,DV-Hop定位算法有较强的适用性和实用性. 分析了影响DV-Hop算法定位精度的因素,并在此基础上提出了一个度量节点离散程度的公式,给出了一个该算法的优化方案,仿真表明优化后的算法有更高的定位精度.
中文关键词: 无线传感器网络  定位  DV-Hop
Abstract:When the sensor nodes collect data in the forest or water environment, the signal intensity and the signal transmission speed are affected by the obstacles or transmission media, which affects the measurement accuracy of localization algorithm based on the signal information. Taking into account the cost of nodes and the dynamic nature of nodes, DV-Hop positioning algorithm has excellent applicability and practicality. This paper analyses the factors influencing the accuracy of DV-Hop algorithm, proposes a formula for measuring the degree of uniformity of nodes, optimized the algorithm. The simulation results show that the optimized algorithm has higher positioning accuracy.
文章编号:     中图分类号:    文献标志码:
基金项目:国家自然科学基金(61170060);安徽省学术与技术带头人学术科研活动(2015D046);安徽省高等学校优秀拔尖人才资助项目(gxbjZD2016044)
引用文本:
李敬兆,孙睿,谭大禹.DV-Hop定位算法误差分析与优化.计算机系统应用,2017,26(4):186-191
LI Jing-Zhao,SUN Rui,TAN Da-Yu.Error Analysis and Improvement of DV-Hop Location Algorithm.COMPUTER SYSTEMS APPLICATIONS,2017,26(4):186-191