期刊文献+

无线传感器网络节点自定位算法仿真研究 被引量:6

A Refined DV-Hop Algorithm Based on RSSI and Hops for Wireless Sensor Networks
下载PDF
导出
摘要 研究无线传感器网络节点自定位问题,由于传感器节点固定能量有限,给识别定位一路带来困难。针对无线传感器中,节点定位误差较大,精确度不高等问题缺陷,提出了一种跳数和RSSI测距技术的DV-Hop定位算法,可有效利用每跳的统计信息并结合RSSI测距技术,在不增加传感器节点的硬件开销的基础上有效提高定位精度和扩大定位范围。仿真结果表明,改进算法在不同的节点比例和节点数的情况下,定位误差小和定位范围广等性能,与原始的DV-Hop定位算法相比定位误差明显减小,精度明显提高。表明算法是一种高效节能的定位算法。 Study the self-localization problem of wireless sensor network node.In wireless sensor networks,the node localization errors are larg and precision is not high.A hop and RSSI based ranging technology,DV-Hop localization algorithm was proposed in the paper.The mapping algorithm can make use of every combination of jump statistics and RSSI ranging technique,improve positioning accuracy and expand the scope without increasing the hardware cost of sensor nodes.Simulation results show that in different proportion and number of nodes,the location error of the algorithm is small and the positioning range is wide.Campared with the original DV-Hop localization algorithm,the positioning error can be reduced significantly and the accuracy can be improved significantly.The algorithm is an energy efficient location method.
作者 姜晓洁 孙志
出处 《计算机仿真》 CSCD 北大核心 2011年第12期122-125,共4页 Computer Simulation
关键词 无线传感器网络 跳数 定位 Wireless sensor networks(WSN) Hop Location
  • 相关文献

参考文献8

  • 1A I F, W Su, S Y, and C E. A Survey on Sensor Networks[C]. Proc. IEEE Communications Magazine, 2002,11 (8) : 102 - 113.
  • 2T S Rappapport. Wireless Communications: Principles and Practice[ M]. Prentice Hall: New Jersey, 1996. 50 - 143.
  • 3G L, E D. Robust range estimation using acoustic and n multimodal sensing[ J] . IEEE International Conference on Intelligent Robots and Systems. 2001,11(3) :1312 - 1320.
  • 4X. Cheng, T A G Xue, D Chen. TPS : a time - based positioning scheme for outdoor wireless sensor networks [ C ]. IEEE INFO- COM2004, March, 2004, (3) :2685 - 2696.
  • 5D Niculescu, B Nath. Ad hoe positioning system (APS) using AOA [ C ]. Proe 22nd Annual Joint Conf of the IEEE Computer and Communications Societies ( INFOCOM' 2003 ) , 2003, 3 : 1734 - 1743.
  • 6T D J. Statistical theory of passive location systems [ J ]. IEEE Trans. On AES 1984,20(2) : 183 - 198.
  • 7Y T Chan and K C Ho. A simple and efficient estimator for hyperbolic location [ J ]. IEEE Transactions on Signal Processing, 42 (8) :1905 - 1915.
  • 8王彦本,白菊蓉.基于数据压缩的雷达网络定位研究[J].计算机仿真,2009,26(12):25-28. 被引量:4

二级参考文献5

共引文献3

同被引文献64

  • 1乔晓军,张馨,王成,任东,何秀红.无线传感器网络在农业中的应用[J].农业工程学报,2005,21(z2):232-234. 被引量:143
  • 2王珊珊,殷建平,蔡志平,张国敏.基于RSSI的无线传感器网络节点自身定位算法[J].计算机研究与发展,2008,45(z1):385-388. 被引量:30
  • 3申铉京,李成岳,王硕,千庆姬.基于最优锚节点的无线传感器网络节点定位算法[J].吉林大学学报(工学版),2011,41(S1):208-214. 被引量:7
  • 4王海东,孙利民.无线传感器网络的定位机制[J].计算机科学,2006,33(4):36-38. 被引量:20
  • 5HU W,QIN H t3. A mobile beacon based method for wireless sensor networks localization [ C]. The llth IEEE International Conference on Communication Technology Proceedings,2008(1) : 1-4.
  • 6Niculescu D, Nath B. DV-based positioning in Ad Hoc networks [ J ]. Journal of Te|econununication Systems, 2003,22(1-4) :267-280.
  • 7Khan UA, Kar S, Moura JMF. DILAND: An algorithm for distributed sensor localization with noisy distance measurements [J]. IEEE Transactions on Signal Processing, 2010, 58 (3): 1940-1947.
  • 8Yang K, An J, Bu X, et al. Constrained total least-squares location algorithm using time-difference-of-arrival measurements [J]. IEEE Transactions on Vehicular Technology, 2010, 59 (3), 1558-1562.
  • 9Guvenc I, Chia-Chin Chong. A survey on TOA based wireless localization and NLOS mitigation techniques [J]. Communiea- tionsSurveys g Tutorials. IEEE, 2009, 11 (3): 107-124.
  • 10Sheng X, Hu YH. Maximum likelihood multiple-source locali- zation using acoustic energy measurements with wireless sensor networks [J]. IEEE Transactions on Signal Processing, 2005, 53 (1): 44-53.

引证文献6

二级引证文献17

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