期刊文献+

基于不可靠节点序列和面感知路由的目标跟踪 被引量:2

Target Tracking with Unreliable Node Sequences and Face Strategy in Wireless Sensor Networks
下载PDF
导出
摘要 目标跟踪是无线传感器网络最基本的应用之一,如何在节约能量的同时保证一定的跟踪精度一直是研究热点之一。本文提出基于不可靠节点序列和面感知路由的目标跟踪算法,采用基于不可靠节点序列的定位模式有效减少网络中数据传输量,大大节约了能量。为了解决基于节点序列的定位算法在节点数目过多时算法复杂度过高的问题,算法引入了面感知路由技术,在将网络平面化的基础上,对平面网络图中的每一个面分别采用节点序列定位算法,有效控制定位算法的节点数目,从而把定位算法的复杂度控制在一定范围内。同时,算法使用预测机制,有效减少参与跟踪的节点数目。实验结果表明该算法能有效节约能量,获得了良好的跟踪效果。 Target tracking is one of the basic applications in wireless sensor networks(WSNs).How to save energy and guarantee the tracking accuracy at the same time is the focus of the current research.This paper proposes a target tracking algorithm based on unreliable node sequences and face strategy(NSFS).It can reduce the amount of data transmission in the network.In order to solve the problem that the complexity of localization algorithm based on unreliable node sequences will be too high when the number of nodes is too large,we make use of face strategy.We apply localization algorithm based on unreliable node sequences in every face of planar networks,hence we can control the number of nodes effectively,and the complexity of algorithm can be confined to a small range.At the same time,our algorithm uses the forecast mechanism,which can effectively reduce the number of nodes that participate in the tracking.The simulation results show that the proposed algorithm has good performance at saving energy and tracking.
出处 《传感技术学报》 CAS CSCD 北大核心 2011年第9期1305-1310,共6页 Chinese Journal of Sensors and Actuators
基金 国家自然科学基金项目(61073037) 湖南省科技计划重点项目(2001GK2003)
关键词 无线传感器网络 目标跟踪 面感知路由 节点序列 wireless sensor networks target tracking face strategy node sequences
  • 相关文献

参考文献12

二级参考文献98

  • 1王国军,王田,贾维嘉.无线传感器网络中一种基于行进启发的地理位置路由[J].传感技术学报,2007,20(2):382-386. 被引量:16
  • 2高学彬,张志强,叶世伟,吴健康.无线传感器网络中的被动式红外传感器模型研究[J].计算机应用,2007,27(5):1086-1088. 被引量:7
  • 3Priyantha N B, Chakraborty A, Balakrishnan H. The Cricket Location-Support System[C]// Proceedings of ACM MOBICOM. Boston, USA: ACM Press, 2000: 32-43. 被引量:1
  • 4Branislav Kusy, Akos Ledeczi, Xenofon Koutsoukos. Tracking Mobile Nodes Using RF Doppler Shifts[C]// Proceedings of the 5th International Conference on Embedded Networked Sensor Systems 2007, Sydney, Australia November 06 - 09, 2007 : 29-42. 被引量:1
  • 5Shrivastava N, Mudumbai R, Madhow U. Target Tracking with Binary Proximity Sensors: Fundamental Limits, Minimal Descriptions, and Algorithms[C]//Proceedings of the 4th International Conference on Embedded Networked Sensor Systems 2006,251-264. 被引量:1
  • 6Tian He, Pascal Vicaire, Ting Yan. Achieving Real-Time Target Tracking Using Wireless Sensor Networks[C]// 12th IEEE Real-Time and Embedded Technology and Applications Symposium, 2006,37-48. 被引量:1
  • 7Bahl P, Padmanabhan V N. RADAR Tan In-Building RF-Based User Location and Tracking System[C]// Proc. of the IEEE INFOCOM, 2000,2, Tel Aviv: IEEE Computer and Communications Societies, 2000 : 775-78. 被引量:1
  • 8Sivrikaya Fikret, Yener Bulent. Time Synchronization in Sensor Networks: a Survey[J]. IEEE Network Magazine's Special Issue on Ad-Hoc Networking: Data Communications Topology Control, 2004,18 (4) : 45-50. 被引量:1
  • 9Madsen K, Nielsen H, and Tingleff O. Methods for Nonlinear Least Square Problems[R], Tech. rep:2004. 被引量:1
  • 10Jaehoon Jeong, Taehyun Hwang, Tian He. MCTA: Target Tracking Algorithm Based on Minimal Contour in Wireless Sensor Networks[C]// INFOCOM 2007:2371-2375. 被引量:1

共引文献481

同被引文献26

  • 1柳立峰,邹仕洪,张雷,程时端.基于概率覆盖模型的无线传感器网络密度控制算法[J].北京邮电大学学报,2005,28(4):14-17. 被引量:33
  • 2蒋杰,方力,张鹤颖,窦文华.无线传感器网络最小连通覆盖集问题求解算法[J].软件学报,2006,17(2):175-184. 被引量:90
  • 3张皓,赵伟.电磁测量领域中数学的地位与重要作用[J].电测与仪表,2007,44(1):1-4. 被引量:1
  • 4Ren C. Luo, Chih-Chen Yih, Kuo Lan Su. Muhisensor Fusion and Integration: Approaches, Applications, and Future Research Directions[J]. IEEE Sensors Journal L, 2002, 2(2): 107-119. 被引量:1
  • 5Ziguo Zhong, Ting Zhu, Dan Wang, Tian He. Tracking with Unreliable Node Sequences[J]. IEEE INFOCOM 2009, 2009:1215 - 1223. 被引量:1
  • 6郑军、张宝贤.无线传感器网络技术[M].北京:机械工业出版社.2012. 被引量:18
  • 7Bhuiyan M Z A,Wang Guo-jun,Wu Jie.Target Tracking with Monitor and Backup Sensors in Wireless Sensor Networks[C]//Proceedings of the 18th IEEE International Conference on Computer Communications and Networks (ICCCN 2009).San Francisco,California,USA,August 2009. 被引量:1
  • 8Gabriel K R,Sokal R R.A New Statistical Approach to Geographic Variation Analysis[J].Systematic Zoology,1969,18:259-278. 被引量:1
  • 9Zhong Zi-guo,Zhu Ting,Wang Dan,et al.Tracking with Unreliable Node Sequences[C]//IEEE INFOCOM 2009.2009:1215-1223. 被引量:1
  • 10Bhuiyan M Z A,Wang G,Wu J.Polygon-Based Tracking Framework in Surveillance Wireless Sensor Networks[C]//Proceedings of the 15th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2009).Shenzhen,China,December 2009:174-181. 被引量:1

引证文献2

二级引证文献10

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