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

Authors:
Arulsaravana Jeyaraj;Syed Jafar;Magda El Zarki
Affiliations:
Univ. of California, Irvine;Univ. of California, Irvine;Univ. of California, Irvine
Venue:
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Year:
2006

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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.