期刊文献+

一种基于动态锚节点的改进加权定位算法 被引量:8

AN IMPROVED WEIGHTED LOCALISATION ALGORITHM BASED ON DYNAMIC ANCHOR NODES
下载PDF
导出
摘要 在无线传感器网络中,大多数定位算法性能取决于锚节点数量以及分布位置,所以定位误差相对较大。在此前提下,提出基于动态锚节点的改进加权定位算法(IWLA-DAN)。首先证明能与未知节点通信的三个锚节点构成的三角形三边相等时定位误差最小,根据该结论得出权值公式,然后通过三边测量法和加权算法求得未知节点位置,同时升级该节点为伪锚节点继续参与网络中其他节点的定位。最后通过Matlab对算法进行仿真,实验结果表明改进后算法定位误差减小,节点定位精度得到提高。 In wireless sensor networks, most of the localisation algorithms have relatively large positioning errors because they entirely depend on the number and distribution position of anchor nodes. On this premise, a new method called the improved weighted localisation algorithm( IWLA- DAN) based on dynamic anchor node is proposed. First, we can get weighting formula by proving the conclusion that the positioning has the least error when the triangle is trilaterally equal and consists of three anchor nodes which can communicated with the unknown node, then the re:known node is located through trilateration and weighting algorithm. At the same time, the node should be updated to pseudo node and continues to partici- pate in the localisation of other nodes in the network. Finally, simulation of the algorithm is carried out through Matlab, and the experimental result shows that the positioning error is reduced and the node localisation accuracy is increased after the improvement of the algorithm.
出处 《计算机应用与软件》 CSCD 北大核心 2013年第10期151-154,共4页 Computer Applications and Software
基金 山西省留学回国人员科技活动择优资助项目(2012) 山西省科技基础条件平台建设项目(2011091003-0103)
关键词 无线传感器网络 加权定位算法 伪锚节点 MATLAB Wireless sensor networks Weighted localisation algorithm Pseudo-anchor node Matlab
  • 相关文献

参考文献12

二级参考文献119

共引文献113

同被引文献71

  • 1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:206
  • 2Bulusu N, Heidemann J, Estrin D. GPS-less low-cost outdoor localization for very small devices [J ]. IEEE Personal Communication, 2000,7(5):28-34.
  • 3Niculescu D, Nath B. DV based positioning in ad hoc networks [ J ]. Journal of Telecommunication Systems ,2003,22(1/4) :67 -280.
  • 4He T,Huang C,Blum B M,et al.Range-free localization schemes for large scale sensor networks[C]//Proceedings of the 9th annual international conference on Mobile computing and networking.ACM,2003:81-95.
  • 5Dardari D,Chong C C,Win M Z.Improved lower bounds on time-of-arrival estimation error in realistic UWB channels[C]//Ultra-Wideband,The 2006 IEEE 2006 International Conference on.IEEE,2006:531-537.
  • 6Gustafsson F,Gunnarsson F.Positioning using time-difference of arrival measurements[C]//Acoustics,Speech,and Signal Processing,2003.Proceedings.(ICASSP’03).2003 IEEE International Conference on.IEEE,2003,6:VI-553-6.
  • 7Peng R,Sichitiu M L.Angle of arrival localization for wireless sensor networks[C]//Sensor and Ad Hoc Communications and Networks,2006.SECON’06.2006 3rd Annual IEEE Communications Society on.IEEE,2006,1:374-382.
  • 8Li X.Collaborative localization with received-signal strength in wireless sensor networks[J].Vehicular Technology,IEEE Transactions on,2007,56(6):3807-3817.
  • 9Li X.RSS-based location estimation with unknown pathloss model[J].Wireless Communications,IEEE Transactions on,2006,5(12):3626-3633.
  • 10Ahn H,Rhee S B.Simulation of a RSSI-based indoor localization system using wireless sensor network[C]//Ubiquitous Information Technologies and Applications(CUTE),2010 Proceedings of the 5th International Conference on.IEEE,2010:1-4.

引证文献8

二级引证文献34

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