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
Link To Document :
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