期刊文献+

无线传感器网络中改进的多目标定位和跟踪算法 被引量:4

Improved Multi-target Localization and Tracking Algorithm in Wireless Sensor Network
下载PDF
导出
摘要 基于无线传感器网络的目标定位与跟踪技术是目前研究的热点,传统的目标跟踪算法均需要明确的目标定位系统观测模型,如无法获得该模型,则算法失效。为此,利用移动机器人客户端,提出一种分布式移动多目标定位和跟踪算法。该算法将所有机器人分为负责目标跟踪的领袖机器人与负责网络阵型和连接性维护的从属机器人,对收敛误差和系统参数间的关系进行分析,并通过仿真实验验证了该算法的有效性。 Target localization and tracking technology is currently a hot issue in Wireless Sensor Network( WSN).Conventional target tracking algorithms alw ays require an explicit system observation model of the target positions,w hich,how ever,w ould fail if such model is not available. This paper designs a distributed algorithm for the localization and pursuit of multiple mobile targets using mobile robot. By the proposed algorithm,all robots are categorized into tw o groups: the leaders,responsible for the target pursuit,and the follow ers,responsible for the formation and connectivity maintenance,and then the relation betw een convergence error and system parameter setting is analyzed theoretically.Simulation results show that the proposed target pursuit algorithm is proved to be able to achieve a controllable convergence error to the local maximum points,w hich depends on the moving speed and sampling rate of agents.
作者 刘淑英
出处 《计算机工程》 CAS CSCD 北大核心 2015年第4期7-13,共7页 Computer Engineering
基金 陕西省教育科学"十二五"规划课题基金资助项目(SGH140808) 咸阳师范学院校内基金资助项目(13XSYK054)
关键词 无线传感器网络 目标定位 能量 机器人 收敛误差 移动速度 Wireless Sensor Network(WSN) target localization energy robot convergence error moving speed
  • 相关文献

参考文献15

  • 1于春娣,丁勇,李伟,薛琳强.一种能量有效的WSN目标跟踪动态协同自组织算法[J].传感技术学报,2012,25(11):1577-1583. 被引量:3
  • 2龙慧,樊晓平,刘少强,唐文妍.无线传感器网络动态最近邻协作目标跟踪算法[J].传感器与微系统,2012,31(7):135-139. 被引量:9
  • 3Chung T H,Hollinger G A, Isler V. Search and Pursuit- evasion in Mobile Robotics [ J ]. Autonomous Robots, 2011,31 (4) :299-316.
  • 4Isler V, Kannan S, Khanna S. Randomized Pursuit- evasion in a Polygonal Environment [ J ]. IEEE Transactions on Robotics ,2005,21 ( 5 ) :875-884.
  • 5Chung T H,Burdick J W ,Murray R M. A Decentralized Motion Coordination Strategy for Dynamic Target Track- ing[ C ]//Proceedings of 2006 IEEE International Con- ference on Robotics and Automation. Washington D. C. , USA :IEEE Press,2006:2416-2422.
  • 6Teng J, Snoussi H, Richard C, et al. Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks [ J ]. IEEE Transactions on Vehicular Technology, 2012,61 ( 5 ) : 2305 -2318.
  • 7Wang Xingbo, Fu Minyue, Zhang Huanshui. Target Tracking in Wireless Sensor Networks Based on the Combination of KF and MLE Using Distance Measurements [ J ]. IEEE Transactions on Mobile Computing ,2012,11 (4) :567-576.
  • 8Ai W B, Deng H J, Yuan J H. An Efficient Semi Definite Relaxation Method for Energy-based Source Localization in Sensor Networks[J]. Applied Mechanics and Materials ,2013,321 :568-572.
  • 9Meesookho C,Mitra U, Narayanan S. On Energy-based Acoustic Source Localization for Sensor Networks [ J ]. IEEE Transactions on Signal Processing, 2008,56 ( 1 ) : 365 -377.
  • 10Dandach S H, Fidan B, Dasgupta S, et al. Adaptive Source Localization by Mobile Agents[ C ]//Proceedings of the 45th IEEE Conference on Decision and Control. Washington D. C. , USA : IEEE Press, 2006 : 2045-2050.

二级参考文献51

  • 1方震,赵湛,郭鹏,张玉国.基于RSSI测距分析[J].传感技术学报,2007,20(11):2526-2530. 被引量:265
  • 2王睿,梁彦,潘泉,程咏梅.无线传感器网络信息感知中的自组织算法[J].自动化学报,2006,32(5):829-833. 被引量:16
  • 3李志刚,屈玉贵,蔺智挺,刘桂英,赵保华.基于无线传感器网络的战场目标跟踪[J].传感器与微系统,2007,26(7):118-120. 被引量:11
  • 4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
  • 5AKYILDIZ I F,SU W,SANKARASUBRAMANIAM Y,et al.A survey on sensor networks[J].IEEE Communications Magazine,2002,40(8):102-114.
  • 6WANG X,MA J M,WANG S,et al.Dynamic energy management with improved particle filter prediction in wireless sensor networks[A].International Conference on Intelligent Computation[C].2007.251-262.
  • 7SINHA A,CHANDRAKASAN A.Dynamic power management in wireless sensor networks[J].IEEE Design & Test of Computers,2001,18(2):62-74.
  • 8ENINI L,BOGLIOLO A,MICHELI G.A survey of design techniques for system-level dynamic power management[J].IEEE Transactions on Very Large Scale Integration (VLSI) Systems,2000,8(3):299-316.
  • 9CHHETRL A S,MORRELL D,PAPANDREOU-SUPPAPPOLA A.Energy efficient target tracking in a sensor network using non-myopic scheduling[A].International Conference on Information Fusion[C].2005.558-565.
  • 10HEINZELMAN W,CHANDRKASAN A,BALAKRISLMAN H.Energy-efficient communication protocol for wireless microsensor networks[A].International Conference on System Sciences[C].2003.181-191.

共引文献61

同被引文献42

  • 1夏建涛,何明一.基于Bhattacharyya距离准则的核空间特征提取算法[J].计算机学报,2004,27(5):683-689. 被引量:4
  • 2汤亚波,徐守时.基于D-S证据理论的多源遥感图像目标数据联合关联算法[J].中国科学技术大学学报,2006,36(5):466-471. 被引量:11
  • 3Mugicki D, Song Taek-Lyul, Lee H H, et al. Correlated Doppler-assisted Target Tracking in Clutter [ J ]. lET Radar Sonar & Navigation,2013,7( 1 ) :94-100.
  • 4Comanciu D, Visvanathan R, Meer P. Kernel-based Object Tracking [ J ]. IEEE Transactions on Pattern Analysis & Machine Intelligence ,2003,40 ( 5 ) :564-575.
  • 5Ning Jifeng,Zhang Lei,Zhang David,et al. Robust Mean- shift Tracking with Corrected Background-weighted Histogram [ J ]. lET Computer Vision,2012,6 ( 1 ) :62-69.
  • 6Kalal Z, Mikolajczyk K, Matas J. Tracking-learning- detection[ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence ,2012,34 ( 7 ) : 1409-1422.
  • 7Oh S,Russell S,Sastry S. Markov Chain Monte Carlo Data Association for General Multiple-target Tracking Pro- blems[C]//Proceedings of IEEE Conference on Decision & Control. Washington D. C., USA: IEEE Press, 2005 : 735- 742.
  • 8van Lieshout M N M. Markov Point Processes and Their Applications [ M ]. London, UK: Imperial College Press, 2000.
  • 9Dallongeville S, Chenouard N, Herve N. Icy: An Open Bioimage Informatics Platform for Extended Reproducible Research[ J]. Nature Methods ,2012,9 ( 7 ) :690-696.
  • 10金美娜,赵拥军,盖江伟.一种基于混合RJMCMC方法的宽带信号DOA估计方法[J].电子与信息学报,2010,32(2):504-508. 被引量:10

引证文献4

二级引证文献5

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