Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (8): 61-64，70.

• Mechanical Engineering • Previous Articles     Next Articles

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

Zhang Xiao-ping1  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）

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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