DocumentCode
2923556
Title
Distributed Source Coding using non-binary LDPC codes for sensor network applications
Author
Potluri, Madhurima ; Chilumuru, Suma ; Kambhampati, Sumakanth ; Namuduri, Kamesh R.
Author_Institution
Wichita State Univ., Wichita
fYear
2007
fDate
6-8 June 2007
Firstpage
105
Lastpage
109
Abstract
Recent revolution in sensor networks has resulted in the development of many enabling techniques, one of which being distributed source coding (DSC). DSC allows a low-complexity encoder, shifting the high complexity to the decoder, making this scheme appropriate for sensor networks. In this paper, we have extended the non-binary low-density parity-check (LDPC) codes, developed for channel coding, to be used for distributed source coding of correlated non-binary sources. The system consists of an equiprobable memoryless non-binary source with side information at the decoder. The correlation between the sources is modelled as a virtual channel. The results obtained through simulations demonstrate that for rates 1/2 and 3/4, the non-binary compression scheme performs better the equivalent binary compression scheme. This scheme makes it extremely suitable for sensor networks.
Keywords
channel coding; distributed sensors; parity check codes; source coding; channel coding; distributed source coding; low-complexity encoder; low-density parity-check codes; nonbinary LDPC codes; nonbinary compression scheme; sensor network applications; AWGN; Bit error rate; Channel coding; Iterative algorithms; Iterative decoding; Lattices; Message passing; Parity check codes; Source coding; Sparse matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2007. CWIT '07. 10th Canadian Workshop on
Conference_Location
Edmonton, AB
Print_ISBN
1-4244-0769-9
Electronic_ISBN
1-4244-0769-9
Type
conf
DOI
10.1109/CWIT.2007.375712
Filename
4259766
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