Time- and coefficient-selective diffusion strategies for distributed parameter estimation

We present an innovative approach to distributed estimation, featuring selective update of parameter estimates. In distributed parameter estimation, sensor nodes consume energy not only in processing data, but most costly, in communicating and diffusing updated parameter estimates. Reducing the number of parameters to be updated and reducing the frequency of updates are thus effective ways to save in energy consumption. The approach presented in this paper features advantages of set-membership adaptive filtering (SMAF) and those of partial updates in adaptive filtering. Simulation results show that the proposed algorithm offers substantial reduction in energy consumption without much, if any, performance degradation.

[1]  Nikos D. Hatziargyriou,et al.  State estimation in Multi‐Microgrids , 2011 .

[2]  Shirish Nagaraj,et al.  Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step size , 1998, IEEE Signal Processing Letters.

[3]  Deborah Estrin,et al.  Guest Editors' Introduction: Overview of Sensor Networks , 2004, Computer.

[4]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[5]  A. Monticelli,et al.  Electric power system state estimation , 2000, Proceedings of the IEEE.

[6]  Yih-Fang Huang,et al.  Distributed parameter estimation with selective cooperation , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  Kutluyil Dogancay,et al.  Adaptive filtering algorithms with selective partial updates , 2001 .

[8]  B. Arnold,et al.  A first course in order statistics , 2008 .

[9]  Stefan Werner,et al.  Partial-update NLMS algorithms with data-selective updating , 2004, IEEE Trans. Signal Process..

[10]  Tyseer Aboulnasr,et al.  Complexity reduction of the NLMS algorithm via selective coefficient update , 1999, IEEE Trans. Signal Process..

[11]  Ali H. Sayed,et al.  Diffusion LMS Strategies for Distributed Estimation , 2010, IEEE Transactions on Signal Processing.

[12]  Mani Srivastava,et al.  Overview of sensor networks , 2004 .

[13]  Leonidas J. Guibas,et al.  Wireless sensor networks - an information processing approach , 2004, The Morgan Kaufmann series in networking.