A distributed constant bit rate Slepian-Wolf based multiple access scheme with nodes having common and correlated information

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 a joint source-channel resource allocation for sensor network applications based on the Slepian-Wolf paradigm in fading channel environments. The sensor nodes are modeled as a multiuser uplink channel transmitting correlated information. We study an efficient distributed constant bit rate allocation scheme based on the Slepian-Wolf model operating in a multiaccess wireless channel.