Journal of South China University of Technology(Natural Science Edition) ›› 2012, Vol. 40 ›› Issue (10): 198-202.doi: 1000-565X(2012)10-0198-05

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Robust Distributed Estimation in Wireless Sensor Networks

Xu Bu-gong  Liu Gui-yun   

  1. School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2012-07-15 Online:2012-10-25 Published:2012-09-01
  • Contact: 胥布工(1956-) ,男,教授,博士生导师,主要从事网络控制研究. E-mail:aubgxu@ scut.edu.cn
  • About author:胥布工(1956-) ,男,教授,博士生导师,主要从事网络控制研究.
  • Supported by:

    国家自然科学基金资助项目( 61174070) ; NSFC-广东省自然科学联合基金资助项目( U0735003)

Abstract:

In view of both the pollution distribution of the sensor observation noise and the noise in the communication channels in a wireless sensor network,two novel robust distributed estimation schemes,namely,QME and TME,are proposed in this paper. Then,the performances of the two proposed schemes are verified by a simulation and are compared with those of the MLE scheme with the known noise covariance. The results show that the QME scheme is superior to the TME scheme and the MLE scheme with the known noise covariance in terms of estimation performance; and that the QME and TME schemes asymptotically achieve the CRLB with the increase in the number of sensor nodes.

Key words: wireless sensor networks, distributed estimation, robustness, quantized mean estimator, trimmed mean estimator