NDLI: Non-negative distributed regression for data inference in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Jie Chen Richard, C. Honeine, P. Bermudez, J.C.M.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, Federal University of Santa Catarina, 88040-900, Florianópolis, Brazil (Bermudez, J.C.M.) \|\| Institut Charles Delaunay (FRE CNRS 2848), Université de Technologie de Troyes, 10010, France (Jie Chen; Honeine, P.) \|\| Laboratoire Fizeau (UMR 6525 CNRS), Université de Nice Sophia-Antipolis, 06108, France (Richard, C.)
Abstract	Wireless sensor networks are designed to perform on inference the environment that they are sensing. Due to the inherent physical characteristics of systems under investigation, non-negativity is a desired constraint that must be imposed on the system parameters in some real-life phenomena sensing tasks. In this paper, we propose a kernel-based machine learning strategy to deal with regression problems. Multiplicative update rules are derived in this context to ensure the non-negativity constraints to be satisfied. Considering the tight energy and bandwidth resource, a distributed algorithm which requires only communication between neighbors is presented. Synthetic data managed by heat diffusion equations are used to test the algorithms and illustrate their tracking capacity.
Starting Page	451
Ending Page	455
File Size	304471
Page Count	5
File Format	PDF
ISBN	9781424497225
ISSN	10586393
e-ISBN	9781424497218
DOI	10.1109/ACSSC.2010.5757599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Wireless sensor networks Signal processing algorithms Convergence Inference algorithms Cost function Heating
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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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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