华南理工大学学报(自然科学版) ›› 2011, Vol. 39 ›› Issue (7): 13-20.doi: 10.3969/j.issn.1000-565X.2011.07.003

• 电子、通信与自动控制 • 上一篇    下一篇

无线传感器网络的目标跟踪能量优化策略

莫磊 胥布工   

  1. 华南理工大学 自动化科学与工程学院,广东 广州 510640
  • 收稿日期:2010-11-10 修回日期:2011-05-04 出版日期:2011-07-25 发布日期:2011-06-03
  • 通信作者: 莫磊(1985-) ,男,博士生,主要从事无线传感器网络及网络化控制研究. E-mail:morleyzs@163.com
  • 作者简介:莫磊(1985-) ,男,博士生,主要从事无线传感器网络及网络化控制研究.
  • 基金资助:

    NSFC-广东省自然科学联合基金资助项目( U0735003) ; 海外及港澳学者合作研究基金资助项目( 60828006)

Energy Optimization Strategy for Target Tracking in Wireless Sensor Networks

Mo Lei  Xu Bu-gong   

  1. School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2010-11-10 Revised:2011-05-04 Online:2011-07-25 Published:2011-06-03
  • Contact: 莫磊(1985-) ,男,博士生,主要从事无线传感器网络及网络化控制研究. E-mail:morleyzs@163.com
  • About author:莫磊(1985-) ,男,博士生,主要从事无线传感器网络及网络化控制研究.
  • Supported by:

    NSFC-广东省自然科学联合基金资助项目( U0735003) ; 海外及港澳学者合作研究基金资助项目( 60828006)

摘要: 为了满足无线传感器网络的目标跟踪性能要求,解决节点能量消耗不均衡的问题,建立了面向无线传感器节点底层硬件和时序流程的能量模型,在节点通信过程中使用量化算法对数据进行压缩量化,在此基础上综合考虑节点的跟踪精度及剩余能量,提出了基于能量优化策略的调度算法,并采用双重唤醒/休眠机制来延长网络寿命.该策略采用分布式计算方式,易于在资源有限的节点中实现. 实验结果表明,该无线传感器网络目标跟踪平台能有效地跟踪网络内的移动目标.仿真结果表明,采用能量优化策略后,能有效地均衡节点间的能量消耗,避免节点过早衰竭.

关键词: 无线传感器网络, 目标跟踪, 能量模型, 量化算法

Abstract:

In order to meet the requirements of tracking performance and to balance the node energy consumption in wireless sensor networks ( WSNs),an energy model based on the hardware over wireless sensor node and the time sequence procedure is established. In the process of node communication,a quantization algorithm is employed to compress the transmitted data,on the basis of which a scheduling algorithm with energy optimization strategy is proposed by synthetically taking into consideration the tracking accuracy and the residual energy of nodes. Moreover,a
double wake-up /sleep mechanism is adopted to prolong the network lifetime. The proposed scheme is easy to implement in resource-limited nodes due to the adoption of distributed computing mode. Experimental results demonstrate that the test platform effectively tracks moving targets in WSNs. Simulated results show that the energy optimization strategy effectively balances the energy consumption among nodes and prevents nodes from depleting prematurely.

Key words: wireless sensor networks, target tracking, energy model, quantization algorithm