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Approximate decoding for network coded inter-dependent data

Title
Approximate decoding for network coded inter-dependent data
Authors
Kwon, MinhaePark, HyunggonThomos, NikolaosFrossard, Pascal
Ewha Authors
박형곤
SCOPUS Author ID
박형곤scopus
Issue Date
2016
Journal Title
SIGNAL PROCESSING
ISSN
0165-1684JCR Link1879-2677JCR Link
Citation
vol. 120, pp. 222 - 235
Keywords
Network codingApproximate decodingInter-dependence sourceAd hoc networksLoss-tolerant data
Publisher
ELSEVIER SCIENCE BV
Indexed
SCIE; SCOPUS WOS scopus
Abstract
In this paper, we consider decoding of loss tolerant data encoded by network coding and transmitted over error-prone networks. Intermediate network nodes typically perform the random linear network coding in a Galois field and a Gaussian elimination is used for decoding process in the terminal nodes. In such settings, conventional decoding approaches can unfortunately not reconstruct any encoded data unless they receive at least as many coded packets as the original number of packets. In this paper, we rather propose to exploit the incomplete data at a receiver without major modifications to the conventional decoding architecture. We study the problem of approximate decoding for inter-dependent sources where the difference between source vectors is characterized by a unimodal distribution. We propose a mode-based algorithm for approximate decoding, where the mode of the source data distribution is used to reconstruct source data. We further improve the mode-based approximate decoding algorithm by using additional short information that is referred to as position similarity information (PSI). We analytically study the impact of PSI size on the approximate decoding performance and show that the optimal size of PSI can be determined based on performance requirements of applications. The proposed approach has been tested in an illustrative example of data collection in sensor networks. The simulation results confirm the benefits of approximate decoding for inter-dependent sources and further show that 93.3% of decoding errors are eliminated when the approximate decoding uses appropriate PSI. (C) 2015 Elsevier B.V. All rights reserved.
DOI
10.1016/j.sigpro.2015.09.010
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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