NDLI: Diffusion LMS Strategies for Distributed Estimation

Content Provider	IEEE Xplore Digital Library
Author	Cattivelli, F.S. Sayed, A.H.
Copyright Year	1991
Abstract	We consider the problem of distributed estimation, where a set of nodes is required to collectively estimate some parameter of interest from noisy measurements. The problem is useful in several contexts including wireless and sensor networks, where scalability, robustness, and low power consumption are desirable features. Diffusion cooperation schemes have been shown to provide good performance, robustness to node and link failure, and are amenable to distributed implementations. In this work we focus on diffusion-based adaptive solutions of the LMS type. We motivate and propose new versions of the diffusion LMS algorithm that outperform previous solutions. We provide performance and convergence analysis of the proposed algorithms, together with simulation results comparing with existing techniques. We also discuss optimization schemes to design the diffusion LMS weights.
Sponsorship	IEEE Signal Processing Society
Starting Page	1035
Ending Page	1048
Page Count	14
File Size	1494620
File Format	PDF
ISSN	1053587X
Volume Number	58
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares approximation Wireless sensor networks Robustness Parameter estimation Sensor phenomena and characterization Scalability Energy consumption Performance analysis Algorithm design and analysis Analytical models energy conservation Adaptive networks diffusion LMS diffusion networks distributed estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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