NDLI: The effect of additive noise on consensus achievement in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Fasano, A. Scutari, G.
Copyright Year	2008
Description	Author affiliation: Dept. of INFOCOM, Univ. of Rome Sapienza, Rome (Fasano, A.; Scutari, G.)
Abstract	Achieving consensus on common global parameters through totally decentralized algorithms is a topic that has attracted considerable attention in the last few years, in view of its potential application in sensor networks. Several algorithms, along with their convergence properties, have been studied in the literature, among which the most popular are the (weighted) average consensus based schemes. One of the most critical aspects of these algorithms is that they suffer from catastrophic noise propagation. We show that the noise affecting the system state variables has a variance that grows linearly with the time index. In addition, we prove that encoding the information on the first forward difference of the state variables rather than on the state itself improves noise resilience, since it guarantees that the asymptotic value of the consensus is affected by noise with bounded variance. The results of our in-depth analysis of the effect of additive noise on consensus algorithms are valid regardless of the noise statistics and for arbitrary network topologies, i.e., arbitrary Laplacian matrices, and contain as special cases previously known results.
Starting Page	2277
Ending Page	2280
File Size	262678
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Additive noise Wireless sensor networks Propagation delay Sensor systems Sensor phenomena and characterization Resilience Network topology Laplace equations Algorithm design and analysis Switches Multisensor systems Sensor networks Distributed algorithms Distributed detection Distributed estimation
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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