期刊文献+

二进制无线传感器网络目标跟踪问题的研究 被引量:4

Overview on Target Tracking Methods in Binary Wireless Sensor Networks
下载PDF
导出
摘要 无线传感器网络是近几年发展起来的一门新技术,其研究的重点之一是目标跟踪问题。二进制传感器网络由于其低廉的布设代价、体积小、低能耗以及传感器节点简单,正得到越来越多的关注并用于目标跟踪。目前二进制无线传感器网络中的目标跟踪方法主要分为两大类:基于分段线性拟合的方法和基于粒子滤波的方法。现分别归纳总结现有二进制无线传感器网络中目标跟踪的两大类方法的研究成果并指出其优缺点以及未来的研究方向或需要完善的工作。 Wireless sensor networks are one of new technologies in recent years and target tracking in the networks is one of the research emphases. The binary sensor networks are becoming more attractive due to the low cost deploy- ment,small size,low energy consumption and simple operation and data communication of the sensors. Therefore, it is taken into consideration in target tracking. The methods availably used in target tracking of binary wireless sensor net- work can be cataloged into two classes,piecewise linear approximation based method and particle filter based method. The current research results were analytically presented,and the future work was also pointed out.
出处 《计算机科学》 CSCD 北大核心 2010年第2期19-22,64,共5页 Computer Science
基金 国家杰出青年科学基金(60725105) 国家重点基础研究发展计划(973计划)课题(2009CB320404) “长江学者和创新团队发展计划资助”(IRT0852) 863计划课题(2007AA01Z217) 863计划课题(2007AA01Z288) 国家重点实验室专项基金(ISN01080301) 国家重点实验室专项基金(ISN02080001) “高等学校创新引智计划”(B08038) 国家自然科学基金项目(60572146) 教育部科学技术研究重点项目(107103)资助
关键词 二进制无线传感器网络 跟踪 分段线性拟合 粒子滤波 Binary sensor networks,Tracking,Piecewise linear approximation,Particle filter
  • 相关文献

参考文献15

  • 1Akyildiz I F, Su W, Sankarasubramaniarn Y, et al. Wireless Sen- sor Networks: A Survey[J]. Computer Networks, 2002,38 (4) : 393-422.
  • 2刘敏钰,吴泳,伍卫国.无线传感网络(WSN)研究[J].微电子学与计算机,2005,22(7):58-61. 被引量:44
  • 3Doherty L, Warneke B A, Boser B E, et al. Energy and performance considerations for smart dust[J]. International Journal of Parallel and Distributed Systems and Networks, 2001,4:121- 133.
  • 4Pradhan S, Kusuma J, Ramchandran K. Distributed compression in a dense micro-sensor network [J]. IEEE Signal Processing Magazine, March 2002 : 51-60.
  • 5Shrivastava N,Mudumbai R, Madhow U, et al. Target Tracking with Binary Proximity Sensors: Fundamental Limits, Minimal Descriptions, and Algorithms[A]//Proceedings of the 4th International Conference on Embedded Networked Sensor Systems [C]. 2006:251-264.
  • 6袁红梅,杨震.基于无线传感器网络的活动目标跟踪[J].现代电子技术,2006,29(19):7-10. 被引量:5
  • 7宋超凡,董慧颖.基于传感器网络的分段线性拟合跟踪算法研究[J].沈阳理工大学学报,2007,26(2):20-23. 被引量:5
  • 8Mechitov K, Sundresh S, Kwon Y, et al. Cooperative Tracking with Binary-Detection Sensor Networks[R]. UIUCIX'S-R 2003-279. Department of Computer Science, University of Illinois at Urbana-Champaign, 2003.
  • 9Kim WooYoung, Mechitov K, Chol J-Y, et al. On Target Tracking with Binary Proximity Sensors [A]//4th International Conference on Information Processing in Sensor Networks[C]. Los Angeles, CA, USA, April 2005.
  • 10Arulampalam M S, Maskell S, Gordon N, et al. A Tutorial on Particle Filters for Online/Non-Gaussian Bayesian Tracking[J]. IEEE Transactions on Signal Processing, 2002,50(2).

二级参考文献28

  • 1韩立锋.无线传感器网络技术[J].电信快报,2005(4):15-17. 被引量:12
  • 2毛莺池,刘明,陈力军,陈道蓄,谢立.DELIC:一种高效节能的与节点位置无关的传感器网络覆盖协议[J].计算机研究与发展,2006,43(2):187-195. 被引量:33
  • 3Andy Ward. Sensor-driven Computing. Ph Dthesis,University of Cambridge, 1998.
  • 4Robert J Orr, Gregory D Abowd. The Smart Floor: A Mechanism for Natural User Identification and Tracking.Proceedings of the 2000 Conferenceon Human FactorsinComputing Systems(CHI2000), The Hague, Netherlands,Aprill-2000,6.
  • 5Akyildiz LF, Su WL, Sankarasubramaniam Y, Cayirci E.A Survey on Sensor Networks.lEEE Communications Magazine, 2002,40(8) : 102-114.
  • 6TinyOS [EB/OL]. http://tinyos, millennium.berkernry.edu. 2001.
  • 7BULT K, BURSTEIN A,CHANG D, l,ow Power Systems for Wireless Micro-sensors [A]. International Symposium on Low Power Electronics and Design [C]. Monterey, CA,1996. 16-27.
  • 8POTTIE G, KAISER W. Wireless Integrated Network Sensors[J].Communications of the ACM, 2000, 43(5): 551-558.
  • 9A Perrig, R Szewczyk, V Wen,D Culler,J D Tygar. SPINS:Security Protocols for Sensor Networks [J]. Witless Neetworks, 2002, 8: 521-534.
  • 10孙利明,李建中,陈渝等.无线传感器网络[M].北京:清华大学出版社,2005.

共引文献51

同被引文献42

引证文献4

二级引证文献3

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