华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (8): 61-64,70.

• 机械工程 • 上一篇    下一篇

降低WSN目标失跟率的自适应采样频率方法

张晓平1  刘桂雄1  洪晓斌1  刘美2   

  1. 1. 华南理工大学 机械与汽车工程学院, 广东 广州 510640; 2. 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:2008-07-04 修回日期:2008-07-24 出版日期:2009-08-25 发布日期:2009-08-25
  • 通信作者: 刘桂雄(1968-),男,教授,博士生导师,主要从事智能传感及网络化控制的研究 E-mail:megxliu@scut.edu.cn E-mail:whuieerain@sina.com
  • 作者简介:张晓平(1981-),男,博士生,主要从事无线传感器网络目标跟踪技术的研究.
  • 基金资助:

    广东省科技计划项目(2007BOt0400046;2006812407003)

Adaptive Sampling Frequency Method to Reduce Target-Losing Rate of WSN

Zhang Xiao-ping Liu Gui-xiong1  Hong Xiao-bin1  Liu Mei2   

  1. 1.School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2008-07-04 Revised:2008-07-24 Online:2009-08-25 Published:2009-08-25
  • Contact: 刘桂雄(1968-),男,教授,博士生导师,主要从事智能传感及网络化控制的研究 E-mail:megxliu@scut.edu.cn E-mail:whuieerain@sina.com
  • About author:张晓平(1981-),男,博士生,主要从事无线传感器网络目标跟踪技术的研究.
  • Supported by:

    广东省科技计划项目(2007BOt0400046;2006812407003)

摘要: 针对无线传感器网络(WSN)固定采样频率下机动性目标失跟率较高的问题,分析了机动性目标失跟的机理,建立了表征失跟率、采样频率、目标速率关系的数学模型,提出了降低目标失跟率的自适应采样频率方法,并对速度大小、方向变化的机动性目标跟踪问题进行仿真实验.结果表明,与固定采样频率方法相比,采样间隔距离参量d恒取不同值时自适应采样频率方法的失跟率平均降低了3.3%~6.0%;当d恒等于50m时,失跟率平均降低6.0%,网络能耗降低13.1%

关键词: 无线传感器网络, 目标跟踪, 失跟率, 自适应性, 采样频率

Abstract:

In order to reduce the loss rate of maneuvering targets in wireless sensor network (WSN) with fixed sampiing frequency, the losing principle of maneuvering targets is analyzed and a mathematical model is established to describe the relationship among the loss rate, the sampling frequency and the target velocity. Moreover, a novel adaptive sampling frequency method to reduce the target-losing rate is proposed, and some maneuvering targets with variable velocity and moving direction are tracked by simulation. The results show that, as compared with the fixed sampling frequency method, the proposed adaptive method greatly reduces the loss rate by 3.3% -6.0% at various sampling intervals, and at an interval of 50 m, the loss rate is reduced by 6.0% with a corresponding energy consumption decrease by 13.1%.

Key words: wireless sensor network, target tracking, target-losing rate, adaptability, sampling frequency