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Approximate decoding approaches for network coded correlated data

Title
Approximate decoding approaches for network coded correlated data
Authors
Park H.Thomos N.Frossard P.
Ewha Authors
박형곤
SCOPUS Author ID
박형곤scopus
Issue Date
2013
Journal Title
Signal Processing
ISSN
0165-1684JCR Link
Citation
vol. 93, no. 1, pp. 109 - 123
Indexed
SCIE; SCOPUS WOS scopus
Abstract
This paper considers a framework where data from correlated sources are transmitted with the help of network coding in ad hoc network topologies. The correlated data are encoded independently at sensors and network coding is employed in the intermediate nodes in order to improve the data delivery performance. In such settings, we focus on the problem of reconstructing the sources at decoder when perfect decoding is not possible due to losses or bandwidth variations. We show that the source data similarity can be used at decoder to permit decoding based on a novel and simple approximate decoding scheme. We analyze the influence of the network coding parameters and in particular the size of finite coding fields on the decoding performance. We further determine the optimal field size that maximizes the expected decoding performance as a trade-off between information loss incurred by limiting the resolution of the source data and the error probability in the reconstructed data. Moreover, we show that the performance of the approximate decoding improves when the accuracy of the source model increases even with simple approximate decoding techniques. We provide illustrative examples showing how the proposed algorithm can be deployed in sensor networks and distributed imaging applications. © 2012 Elsevier B.V.
DOI
10.1016/j.sigpro.2012.07.007
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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