首页 | 本学科首页   官方微博 | 高级检索  
     检索      

无线传感网中定位算法研究
引用本文:张现利,张丽翠,朱晓男,孟晓龙.无线传感网中定位算法研究[J].吉林大学学报(信息科学版),2014,32(4):333-338.
作者姓名:张现利  张丽翠  朱晓男  孟晓龙
作者单位:吉林大学 通信工程学院, 长春 130012
基金项目:吉林省科技发展计划基金资助项目(201205093)
摘    要:为了利用无线传感器网络对物体实现更加精确的定位, 通过对接收信号强度指示(RSSI: Received Signal Strength Indicator)定位算法进行仿真与性能分析, 确定了算法的误差来源,讨论了未知节点的邻居锚节点密度对定位精度的影响。根据仿真和数据分析选取合适邻居节点的个数, 进而采用了更加精细的算法即利用RSSI平均值选取最优值剔除失真数据, 以提高定位的精确度。实验结果表明, 在相同的环境下改进算法使定位误差由0~5 m减少到0~1 m, 平均误差由1 m左右减少到0.1 m左右, 提高了定位精度。

关 键 词:无线传感器网络  定位算法  接收信号强度指示  精度  
收稿时间:2013-09-05

Research on Localization Algorithm of Wireless Sensor Network
ZHANG Xianli,ZHANG Licui,ZHU Xiaonan,MENG Xiaolong.Research on Localization Algorithm of Wireless Sensor Network[J].Journal of Jilin University:Information Sci Ed,2014,32(4):333-338.
Authors:ZHANG Xianli  ZHANG Licui  ZHU Xiaonan  MENG Xiaolong
Institution:College of Communication Engineering, Jilin University, Changchun 130012, China
Abstract:In order to take advantage of the wireless sensor network to achieve more objects, the aims is to study and improve RSSI (Received Signal Strength Indicator) According to the simulation and performance analysis on RSSI localization algorithm, the precise positioning of localization experiment algorithm. determined the source of algorithm's errors. The influence of the number of neighbor bencon nodes on the positioning accuracy is discussed, and the appropriate number is selected according to the simulation figures and the data. Used the average value of RSSI to select the optimal value and eliminate the distortion data. The experimental results show that in the improved algorithm the localization error is reduced from 0 - 5 m to 0 ~ 1 m, and the average error is reduced from 1 meters down to 0. 1 m in the same environment, improving the localization accuracy.
Keywords:wireless sensor network  localization algorithm  received signal strength indicator(RSSI)  accuracy
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《吉林大学学报(信息科学版)》浏览原始摘要信息
点击此处可从《吉林大学学报(信息科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号