期刊文献+

基于无线网络节点相似度的室内定位算法 被引量:7

An Indoor Location Algorithm Based on The Wireless Network Node Similarity
原文传递
导出
摘要 针对RSSI测距定位技术在室内环境中受到的随机干扰大,干扰变化情况不确定,定位结果误差较大的问题,提出了一种基于无线传感器网络节点相似度的室内定位算法。首先通过无线传感器网络的连通特性确定位于网络盲节点周围的几个信标节点,利用数据拟合的方法确定节点工作电压对RSSI距离测量的影响,然后根据拟合结果对不同工作电压下测得的RSSI值进行修正,利用修正后得到的RSSI值计算得到网络节点之间的相似度值,并利用该相似度值作为距离测量和定位结果的自校正系数,对定位结果进行修正,从而获得精度较高的定位效果。实验结果表明该定位算法具有较高的定位精度。 In view of RSSI location technology deeply influenced by random disturbance that bring great errors to the results of measurement, An indoor location algorithm based on the wireless network node similarity is presented. It will confirm some beacon nodes which around the aim node by the connection characteristic of wireless network and make sure the influence of the measuring result that cased by different node voltages by the method of data fitting. Then according to the result of fitting correct the value of RSSI which measured with node under different voltages. Using the modified value of RSSI calculate value of the similarity between the beacon node and aim node and take the value of similarity as the correction coefficient to correct the result of location. The result of experiment show that this algorithm has good performance.
出处 《控制工程》 CSCD 北大核心 2012年第1期106-109,共4页 Control Engineering of China
基金 重庆市自然科学基金项目(CSTC2009BB3209)
关键词 RSSI节点相似度 无线传感器网络 节点电压 RSSI node similarity wireless sensor networks node voltages
  • 相关文献

参考文献3

二级参考文献25

  • 1韩屏,李方敏,吴学红.一种基于无线传感网络的实用性地下坑道定位方法[J].传感技术学报,2007,20(10):2313-2318. 被引量:8
  • 2王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868. 被引量:672
  • 3陈维克,李文锋,首珩,袁兵.基于RSSI的无线传感器网络加权质心定位算法[J].武汉理工大学学报(交通科学与工程版),2006,30(2):265-268. 被引量:207
  • 4Capkun S, Hamdi M and Hubaux J P. GPS-Free Positioning in Mobile Ad-Hoc Networks[C]// Proceedings of the 34th Annual Hawaii International Conference on System Science. Haiwaii, USA:IEEE Computing society, 2001. 3481-3490.
  • 5Sukhyun Y, Jaehun L, Wooyong C, Euntai K. Centroid Localization Method in Wireless Sensor Networks using TSK Fuzzy Modeling[C].//Proceedings of 8th International Symposium on Advanced Intelligent Systems (ISIS2007). Sokcho- City, Korea, 2007:971-974.
  • 6Bahl P, Padmanabhan V N. RADAR: An in-Building RF- based user Location and Tracking System [C]. // Proceedings of the IEEE INFOCOM 2000. Tel Aviv: IEEE Computer and Communications Societies, 2000. 775-784.
  • 7Hightower J, Want R, Borriello G. SpotON: an Indoor 3D Location Sensing Technology based on RF Signal Strength [D]. Seattle: University of Washington, 2000.
  • 8Alippi C, Vanini G. Wireless Sensor Networks and Radio Localization: a Metrological Analysis of the MICA2 Received Sig- nal Strength Indicator [C]. // Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (LCN'04), Italy, 2004:16-18.
  • 9Pahlavan K, Levesque A. Wireless Information Networks [M]. NewYork: John Wiley&Sons, Ine, 1995.
  • 10Texas Instruments, Inc. Z-stack application programming interface, document number: FSW--2006--0021 [ M ]. San Diego, California USA ,2007.

共引文献76

同被引文献62

引证文献7

二级引证文献29

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