poster

A simple distributed coding algorithm for sensor networks

Authors:

Riccardo Bernardini,

Roberto RinaldoAuthors Info & Claims

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

Article No.: 4, Pages 1 - 6

https://doi.org/10.1145/1374296.1374303

Published: 18 September 2006 Publication History

Get Access

Abstract

In this paper we propose a general distributed coding technique for an N-source scenario with low computational requirements at the coder side. The key hypothesis is that it must be possible to find an approximate estimate of each source from the knowledge of a "reference soruce" and that the estimation error can be statistically described.

References

[1]

S. S. Pradhan and K. Ramchandran, "Distributed source coding using syndromes (DISCUS): Design and construction," IEEE Transactions on Information Theory, vol. 49, pp. 626--643, Mar. 2003.

Digital Library

Google Scholar

[2]

Z. Xiong, A. D. Liveris, and S. Cheng, "Distributed source coding for sensor networks," Signal Processing magazine, pp. 80--94, Sept. 2004.

Google Scholar

[3]

A. D. Wyner and J. Ziv, "The rate-distortion function for source coding with side-information at the decoder," IEEE Transactions on Information Theory, pp. 1--10, Jan. 1976.

Google Scholar

[4]

S. S. Pradham, J. Kusuma, and K. Ramchandran, "Distributed compression in a dense microsensor network," Signal Processing magazine, pp. 51--60, Mar. 2002.

Google Scholar

[5]

R. Bernardini and R. Rinaldo, "Distributed coding via folding functions," in Data Compression Conference 2006, (Snowbird, UT), p. 440, Mar. 2006.

Digital Library

Google Scholar

[6]

J. H. Conway, N. J. A. Sloane, and E. Bannai, Sphere-packings, lattices, and groups. New York, NY, USA: Springer-Verlag New York, Inc., 1987.

Digital Library

Google Scholar

[7]

T. M. Cover and J. A. Thomas, Information theory. New York: Wiley, 1991.

Google Scholar

[8]

R. Bernardini, R. Rinaldo, and P. Zontone, "Wavelet domain distributed coding for video," in International Conference on Image Processing 2006, 2006.

Google Scholar

[9]

A. Aaron, S. Rane, E. Setton, and B. Girod, "Transform-domain wyner-ziv codec for video," in Visual Communications and Image Processing, (San Jose, CA), Jan. 2004.

Google Scholar

Index Terms

A simple distributed coding algorithm for sensor networks
1. Mathematics of computing
  1. Information theory
    1. Coding theory
2. Security and privacy
  1. Cryptography
    1. Mathematical foundations of cryptography

Recommendations

Distributed Maximum Likelihood DOA Estimation Algorithm for Correlated Signals in Wireless Sensor Network

The performance of the existing direction of arrival (DOA) estimation algorithms for source localization in the wireless sensor networks (WSN) degrades when the sources are correlated. The degradation is due to the rank deficiency of the source ...
Rate-Constrained Distributed Estimation in Wireless Sensor Networks

In this paper, we consider the distributed parameter estimation in wireless sensor networks where a total bit rate constraint is imposed. We study the optimal tradeoff between the number of active sensors and the quantization bit rate for each active ...
A distributed minimum variance estimator for sensor networks

A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is jointly tracked by a network of sensor nodes, in which each node computes its estimate as a weighted sum of its own and its neighbors' measurements and ...

Comments

Information & Contributors

Information

Published In

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

September 2006

281 pages

ISBN:1595935177

DOI:10.1145/1374296

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Poster

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
87
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Index Terms

Recommendations

Distributed Maximum Likelihood DOA Estimation Algorithm for Correlated Signals in Wireless Sensor Network

Rate-Constrained Distributed Estimation in Wireless Sensor Networks

A distributed minimum variance estimator for sensor networks

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations