期刊文献+

基于ZigBee的动态WSN节点定位 被引量:5

Mobile wireless sensor network node localization based on ZigBee technology
下载PDF
导出
摘要 针对因障碍物影响而无法实现动态无线传感网MWSN(mobile wireless sensor network)高精度定位的问题,提出了基于RSSI信号传播模型的α-驱动更新的质心定位算法α-drive renewing weighted centroid localization(α-DRWCL)。根据WCL(weighted centroid localization)的距离计算公式,建立了路径衰减因子α的计算模型,利用边界探测装置的探测结果适时改变α的值,得到较接近实际情况的各参考节点权重,达到了减小定位误差的目的。在实验环境中对α-DRWCL算法进行定位仿真,仿真结果表明了该算法的精确性和有效性。 Aimed at the problems of accurate localization result of mobile wireless sensor network is always can't be achieved because of obstruction,a new localization algorithm is proposed named α-drive renewing weighted centroid localization(α-DRWCL),which is based on the RSSI signal propagation model.The computation model of α(pass-loss exponent) is proposed on the basis of the distance computation algorithm in WCL.The value of α is altered adapt to environment,and more accurate weight of every reference node is acquired with the result of reducing the error of localization.The experiment is conducted in the simulate environment and the result is analyzed,which prove that the positioning method based on α-DRWCL algorithm is valid and accurate.
出处 《计算机工程与设计》 CSCD 北大核心 2012年第2期431-434,共4页 Computer Engineering and Design
基金 河南省重大科技攻关基金项目(2009A520029)
关键词 动态无线传感网络 紫蜂技术 加权质心定位 路径消耗指数 α-驱动更新 MWSN ZigBee weighted centroid localization pass-loss exponent α-drive renewing
  • 相关文献

参考文献15

  • 1Arienzo L, Longo M. Posterior Cramer-Rao bound for rangebased target tracking in sensor networks EC:. Statistical Signal Processing, 2009: 541-544.
  • 2Almuzaini K K, Gulliver T A. A new distributed range-free 1o calization algorithm for wireless networks [ C]. Vehicular Technology Conference Fall, 2009: 1-5.
  • 3Xu J, Ma M, Law C L. Position estimation using UWB TDOA measurements[C]. Ultra-Wideband, 2006: 605-610.
  • 4Wu Rong-Hou, Lee Yang-Han. Study of characteristics of RSSI signal [R]. Industrial Technology, 2008: 1-3.
  • 5Blumenthal J, Grossmann R, Golatowski F, et al. Weighted centroid localization in ZigBee-based sensor networks [R]. Intelligent Signal Processing, 2007 : 1-6.
  • 6Behnke R, Timmermann D. AWCL: Adaptive weighted centroid localization as an efficient improvement of coarse grained localization [R]. Positioning, Navigation and Communication, 2008: 243-250.
  • 7JIN Rencheng, WANG Hongbin, Peng /:30, et al. Research on RSSI-based localization in wireless sensor networks [R]. Wireless Communications, 2008: 1-4.
  • 8Su K F, Ou C H, Jiau H C. Localization with mobile anchor points in wireless sensor networks [C]. IEEE Trans, 2005: 1187-1197.
  • 9ZHANG B, YU F. An energy efficient localization algorithm for wireless sensor networks using a mobile anchor node[C]. International Conference on Information and Automation, 2008: 215-219.
  • 10YANG Huanjia, YANG Shuanghua. Connectionless indoor inventory tracking in ZigBee RFID sensor network [R]. In dustrial Electronics, 2009: 2618-2623.

同被引文献37

引证文献5

二级引证文献22

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