期刊文献+

面向目标跟踪的WSN协同调度策略及拓扑控制 被引量:4

Collaborative Scheduling Strategy and Topology Control for Target Tracking in Wireless Sensor Networks
下载PDF
导出
摘要 基于扩展卡尔曼滤波估计理论提出了分布式无线传感器网络的目标跟踪算法,给出了基于邻节点集的协同调度策略和采用退避机制的按需距离矢量路由(AODV)拓扑控制策略,实现了分布式环境下任务节点和拓扑结构的动态自适应切换.通过研制融合了MicaZ硬件节点和超声波传感器的原型系统,实现了对移动目标的跟踪和定位,验证了所提出算法的正确性. In this paper,first,a target-tracking algorithm for distributed wireless sensor networks is presented based on the theory of extended Kalman filtering(EKF) estimation.Then,a collaborative scheduling strategy based on the neighbor node set and an AODV(Ad Hoc On-Demand Distance Vector) topology control strategy using the backoff mechanism are proposed to implement the dynamic adaptive switching of task nodes and topologies in a distributed environment.Moreover,a prototype of target tracking equipped with MicaZ hardware nodes and ultrasonic sensors is developed to track and locate moving targets.The results verify the correctness of the proposed algorithm.
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2010年第6期60-65,共6页 Journal of South China University of Technology(Natural Science Edition)
基金 NSFC-广东联合基金重点项目(U0735003) 华南理工大学自然科学青年基金资助项目(E5090840)
关键词 无线传感器网络 扩展卡尔曼滤波 目标跟踪 协同调度 拓扑控制 wireless sensor networks extended Kalman filtering target tracking collaborative scheduling topology control
  • 相关文献

参考文献13

  • 1Zhao F,Liu J,Guibas L,et al.Collaborative signal and information processing:an information directed approach[J].Proceedings of the IEEE,2003,91(8):1199-1209.
  • 2Perkins C,Royer E B,Das S.Ad hoc on demand distance vector (AODV) routing[EB/OL].(2003-07-01).http:∥www.ietf.org/rfc/rfc3561.txt.
  • 3Kalman R E.A new approach to linear filtering and prediction problems[J].Journal of Basic Engineering,1960,82(Series D):35-45.
  • 4Greg W,Gary B.An introduction to the Kalman filter[EB/OL].[2007-03-08].http:∥www.cs.unc.edu/-welch/kalman/kalmanIntro.html.
  • 5Taylor C,Rahimi A,Bachrach J,et al.Simultaneous loca-lization,calibration,and tracking in an ad hoc sensor network[C] ∥Proceedings of the Fifth International Confe-rence on Information Processing in Sensor Networks.Nashville:ACM,2006:27-33.
  • 6Junaid A,Janne R,Petri M.Combining particle filtering with cricket system for indoor localization and tracking services[C] ∥Proceedings of the 18th Annual IEEE International Symposium on Personal,Indoor and Mobile Radio Communications.Athens:IEEE,2007:2270-2274.
  • 7薛锋,刘忠,曲毅.无线传感器网络中的分布式目标被动跟踪算法[J].系统仿真学报,2007,19(15):3499-3502. 被引量:19
  • 8Lin Jianyong,Lewis F,Xiao Wendong,et al.Accuracy based adaptive sampling and multi-sensor scheduling for collaborative target tracking[C] ∥Proceedings of the 9th International Conference on Control,Automation,Robotics and Vision.Singapore:IEEE,2006:2064-2069.
  • 9Lin Jianyong,Xie Lihua,Xiao Wendong.State-centric multi-sensor scheduling for target tracking in wireless sensor networks[C] ∥Proceedings of the 6th International Conferences on Information,Communications and Signal Processing.Singapore:IEEE,2007:1467-1470.
  • 10肖文栋 董梁 吴健康 等.有源传感网络中目标跟踪的传感器调度方法.自动化学报,2006,32(6):922-928.

二级参考文献8

  • 1Chong C Y,Kumar S P.Sensor Networks:Evolution,Opportunities,and Challenges[C]//Proceedings of the IEEE,USA:IEEE,2003:1247-1256.
  • 2Gordon N J,Salmond J,Smith A F.Novel Approach to Nonlinear non-Gaussian Bayesian State Estimation[J].IEE Proceedings on Radar and Signal Processing (S0956-375X),1993,140(2):107-113.
  • 3Arulampalam S,Maskell S.A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking[J].IEEE Trans of Signal Processing (S1053-587X),2002,50(2):174-188.
  • 4Michael K,Pao L Y.Covariance Control for Multisensor Systems[J].IEEE Transactions on AES (S0018-9251),2002,38(4):1138-1157.
  • 5Chong C Y,Zhao F,Mori S.Distributed Tracking in Wireless Ad hoc Sensor Networks[C]//Proceedings of the Sixth International Conference of Information Fusion,Australia:IEEE,2003:1247-1256.
  • 6Xue F,Liu Z,Zhang X R.Decentralized Information Particle Filter for Passive Tracking in Sensor Networks[C]//International Conference on Communications and Networking,China:IEEE,2006:406/1-406/3.
  • 7Efe M,Atherton D P.Maneuvering Target Tracking Using Adaptive Turn Rate Models in The Interacting Multiple Model Algorithm[C]//Proceedings of the 35th Conference on Decision and Control,Japan:IEEE,1996:51-56.
  • 8Sheng X,Hu Y H,Ramanathan P.Distributed Particle Filter with GMM Approximation for Multiple Targets Localization and Tracking in Wireless Sensor Network[C]//Fourth International Symposium on Information Processing in Sensor Networks,USA:IEEE,2005:181-188.

共引文献18

同被引文献42

  • 1杨余旺,于继明,赵炜,郑亚,杨静宇.单跳无线传感器网络能量分析计算[J].南京理工大学学报,2007,31(1):81-84. 被引量:13
  • 2Healy M,Newe T, Lewis E. Power management in opera- ting systems for wireless sensor nodes [ C ] // Proceedings of IEEE Sensors Applications Symposium. San Diego :IEEE, 2007.
  • 3Qun S. Power management in networked sensor radios net- work energy model [ C ] // Proceedings of IEEE Sensors Applications Symposium. San Diego: IEEE ,2007.
  • 4Rhee S, Seetharam D, Liu S. Techniques for minimizing power consumption in low data rate wireless sensor net- works [ C] //Proceedings of Wireless Communications and Networking Conference. Cambridge : IEEE,2004 : 1727-1731.
  • 5Savarese C, Rabaey J, Beutel J. Location in distributed ad- hoc wireless sensor networks [ C ]//Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Salt Lake City : IEEE, 2001 : 2037- 2040.
  • 6Victor S, Mark H, Borrong C, et al. Simulating the power consumption of large-scale sensor network applications [ C] //Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems. Baltimore: ACM, 2004 : 1163-1174.
  • 7Texas Instruments Inc. Chipcon AS smartRF CC2420 pre- liminary datasheet [ DB/OL]. (2004-06-09) [2010-10-08]. http: //focus. ti. com/analog/docs/enggresdetail. tsp? fami- lyId = 367&genContentId = 3573.
  • 8Yue K T, Xiao W D, Xie L H. A wireless sensor network target tracking system with distribute competition based sensor scheduling [ C] //Proceedings of International Con- ference on Intelligent Sensors, Sensor Networks and Infor- mation Processing. Melbourne : IEEE ,2007:636-642.
  • 9Deborah E. Wireless sensor networks tutorial part Ⅳ: sensor network protocols [ C ]//Proceedings of the ACM Mobile Computing and Networking. Atlanta: ACM, 2002 : 23-28.
  • 10Gersho M, Gray R M. Vector quantization and signal compression [ M ]. Boston : Kluwer Academic Publishers, 1991:333-337.

引证文献4

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