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Wavelet based source broadcast for in-network processing in sensor networks unknown side information

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2 Author(s)
Caimu Tang ; Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA ; C. S. Raghavendra

In-network processing is an appealing principle for resource conservation for sensor network applications. We propose a scheme to compress sensor array data in which one sensor has to send its readings to multiple neighbor sensors. This proposed scheme uses low-density parity-check code based Slepian-Wolf codes to compress these bit-planes extracted from wavelet coefficients with flexible rates, and each receiver uses the sum-product algorithm to decode the progressive transmission. A priori correlation statistic is not required in this scheme, and the reception rate of each receiver is close to conditional entropy with regard to the sender.

Published in:

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.  (Volume:1 )

Date of Conference:

28 Nov.-2 Dec. 2005