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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/8131
Title: Block least mean squares algorithm over distributed wireless sensor network
Authors: Panigrahi T.
Pradhan, Pyari Mohan
Panda G.
Mulgrew B.
Published in: Journal of Computer Networks and Communications
Abstract: In a distributed parameter estimation problem, during each sampling instant, a typical sensor node communicates its estimate either by the diffusion algorithm or by the incremental algorithm. Both these conventional distributed algorithms involve significant communication overheads and, consequently, defeat the basic purpose of wireless sensor networks. In the present paper, we therefore propose two new distributed algorithms, namely, block diffusion least mean square (BDLMS) and block incremental least mean square (BILMS) by extending the concept of block adaptive filtering techniques to the distributed adaptation scenario. The performance analysis of the proposed BDLMS and BILMS algorithms has been carried out and found to have similar performances to those offered by conventional diffusion LMS and incremental LMS algorithms, respectively. The convergence analyses of the proposed algorithms obtained from the simulation study are also found to be in agreement with the theoretical analysis. The remarkable and interesting aspect of the proposed block-based algorithms is that their communication overheads per node and latencies are less than those of the conventional algorithms by a factor as high as the block size used in the algorithms. © Copyright 2012 T. Panigrahi et al.
Citation: Journal of Computer Networks and Communications (2012), (): -
URI: https://doi.org/10.1155/2012/601287
http://repository.iitr.ac.in/handle/123456789/8131
Issue Date: 2012
ISSN: 20907141
Author Scopus IDs: 24463729300
26639724100
7005294702
7006054649
Author Affiliations: Panigrahi, T., Department of ECE, National Institute of Technology, Rourkela 769008, India
Pradhan, P.M., School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar 713002, India
Panda, G., School of Electrical Sciences, Indian Institute of Technology, Bhubaneswar 713002, India
Mulgrew, B., Institute for Digital Communication, University of Edinburgh, Edinburgh EH899AD, United Kingdom
Corresponding Author: Panigrahi, T.; Department of ECE, National Institute of Technology, Rourkela 769008, India; email: panigrahit@nitrkl.ac.in
Appears in Collections:Journal Publications [ECE]

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