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2nd International ICST Conference on Mobile Multimedia Communications

Research Article

A Slepian-Wolf based cross layer scheme suitable to sensor networks

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/1374296.1374308,
        author={Arulsaravana Jeyaraj and Syed Jafar  and Magda El Zarki},
        title={A Slepian-Wolf based cross layer scheme suitable to sensor networks},
        proceedings={2nd International ICST Conference on Mobile Multimedia Communications},
        publisher={ACM},
        proceedings_a={MOBIMEDIA},
        year={2006},
        month={9},
        keywords={},
        doi={10.1145/1374296.1374308}
    }
    
  • Arulsaravana Jeyaraj
    Syed Jafar
    Magda El Zarki
    Year: 2006
    A Slepian-Wolf based cross layer scheme suitable to sensor networks
    MOBIMEDIA
    ACM
    DOI: 10.1145/1374296.1374308
Arulsaravana Jeyaraj1,*, Syed Jafar 1,*, Magda El Zarki2,*
  • 1: The Henry Samueli School of Engineering, EECS Dept., Univ. of California, Irvine
  • 2: Donald Bren School of Information & Computer Sciences, CS Dept., Univ. of California, Irvine
*Contact email: asaravan@uci.edu, syed@eecs.uci.edu, elzarki@uci.edu

Abstract

Practical implementation of video compression for distributed sources is currently an active research area. The distributed compression paradigm based on the Slepian-Wolf model has been proposed for low-complexity video compression algorithms and energy efficient wireless sensor networks. In this paper we consider joint source-channel resource allocation for sensor network applications based on the Slepian-Wolf paradigm in fading channel environments. The sensor nodes are modelled as a multiuser uplink channel transmitting correlated information. We study an efficient cross layer variable source rate allocation for the individual nodes based on the multi-access channel capacity and discuss efficient ways to compress and transmit the data over the wireless channel.

Published
2006-09-20
Publisher
ACM
http://dx.doi.org/10.1145/1374296.1374308
Copyright © 2006–2025 ACM
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