DocumentCode :
1938852
Title :
Distributed source coding: symmetric rates and applications to sensor networks
Author :
Pradhan, S. Sandeep ; Ramchandran, Kannan
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear :
2000
fDate :
2000
Firstpage :
363
Lastpage :
372
Abstract :
We address the problem of distributed source coding using a practical and constructive approach, referred to as distributed source coding using syndromes (DISCUS), with applications to sensor networks. We propose low complexity encoding and decoding methods based on linear codes, to achieve all points in the achievable rate region of the Slepian-Wolf (1973) problem. The extension of these concepts to the construction of Euclidean-space codes is also studied and analyzed for the case of trellis and lattice codes. The performance of these symmetric methods for encoding with a fidelity criterion is shown to be the same as that of asymmetric encoding. Simulations are presented to corroborate these results
Keywords :
decoding; distributed processing; linear codes; sensor fusion; source coding; trellis codes; DISCUS; Euclidean-space codes; decoding; distributed source coding; fidelity criterion; lattice codes; linear codes; low complexity encoding; performance; sensor networks; simulations; symmetric rates; syndromes; trellis codes; Bandwidth; Decoding; Discrete event simulation; Encoding; Extraterrestrial phenomena; Lattices; Linear code; Sensor phenomena and characterization; Sensor systems; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2000. Proceedings. DCC 2000
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
0-7695-0592-9
Type :
conf
DOI :
10.1109/DCC.2000.838176
Filename :
838176
Link To Document :
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