期刊文献+

无线传感器网络节点定位方法 被引量:5

Localization algorithm for wireless sensor network
下载PDF
导出
摘要 针对无线传感器网络中定位精度低等问题,设计并实现一套基于贴近度的定位系统(ADLS)。利用内测点法初步估计未知节点所在区域,利用最大最小贴近度计算出最佳虚拟节点,通过求质心来确定未知节点位置。利用虚拟节点一定程度上降低多径、绕射等信号强度的干扰和网络成本,利用贴近度将未知节点与虚拟节点结合起来,避免一些算法中存在的误差累积等问题。实验结果表明,ADLS具有良好的性能,适用于无线传感器网络应用。 Aiming at the low positioning accuracy problem of localization in the wireless sensor network,a localization system based on the approach degree(ADLS)was proposed.In the system,the PIT was used to estimate unknown node areas,and the biggest-smallest approach degree was used to calculate the best virtual beacon nodes.Then the centroid was calculated to determine the unknown node position.The virtual beacon node was utilized to reduce the interference caused by signal strengths including the multi-path and the diffraction as well as to reduce network costs to a certain extent.Unknown nodes and virtual nodes were combined using the approach degree to avoid overlapped errors in some algorithms.Experimental results show that ADLS improves the localization accuracy significantly and it is suitable for applications in WSN.
出处 《计算机工程与设计》 CSCD 北大核心 2014年第12期4061-4067,共7页 Computer Engineering and Design
基金 国家自然科学基金项目(61300171) 北京市自然科学基金项目(4132026 4122023)
关键词 定位算法 虚拟节点 定位精度 贴近度 计算复杂度 localization algorithm virtual node location accuracy approach degree computing complex
  • 相关文献

参考文献16

  • 1王小平,罗军,沈昌祥.无线传感器网络定位理论和算法[J].计算机研究与发展,2011,48(3):353-363. 被引量:45
  • 2Bai Yun,Li Chunming,Xue Yuan.A centroid localization algorithm for wireless sensor networks based on RSSI[C]//International Conference on Sensors,Measurement and Intelligent Materials,Applied Mechanics and Materials,2012:303-306. 被引量:1
  • 3Rullan-Lara Jose L,Sanahuja Guillaume.Indoor localization of aquadrotor based on WSN:A real-time application regular paper[J].International Journal of Advanced Robotic Systems,2013,10(48):679-682. 被引量:1
  • 4Malajner Marko,Planinsic Peter,Glec h Dusan.Angle of arrival estimation using rssi and omnidirectional rotatable antenas[J].IEEE Sensors Journal,2012,12(6):1950-1957. 被引量:1
  • 5Kumar Shrawan,Lobiyal DK.An advanced DV-HOP localization algorithm for wireless sensor networks[J].Wireless Personal Communications,2013,71(2):1365-1385. 被引量:1
  • 6Zhang Dengyi,Liu Feng,Wang Lei,et al.DV-HOP localization algorithms based on centroid in wireless sensor networks[C]//2nd International Conference on Yichang,Consumer Electronics,Communications and Networks.IEEE,2012:3216-3219. 被引量:1
  • 7Chiti F,Pierucci L.APIT2:A bit of improvement for applications in critical scenarios[C]//The 6th International Wireless Communications and Mobile Computing Conference,2010:419-423. 被引量:1
  • 8马震,刘云,沈波.分布式无线传感器网络定位算法MDS-MAP(D)[J].通信学报,2008,29(6):57-62. 被引量:35
  • 9孙凯,刘润杰,申金媛.基于虚拟节点的BP无线传感器网络定位算法[J].传感器与微系统,2010,29(9):122-124. 被引量:4
  • 10朱剑,赵海,徐久强,李大舟.无线传感器网络中的定位模型[J].软件学报,2011,22(7):1612-1625. 被引量:22

二级参考文献91

共引文献124

同被引文献24

引证文献5

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部