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The impact of network coding cluster size on approximate decoding performance

Title
The impact of network coding cluster size on approximate decoding performance
Authors
Kwon M.Park H.
Ewha Authors
박형곤
SCOPUS Author ID
박형곤scopus
Issue Date
2016
Journal Title
KSII Transactions on Internet and Information Systems
ISSN
1976-7277JCR Link
Citation
vol. 10, no. 3, pp. 1144 - 1158
Keywords
Approximate decodingCluster sizeInternet of Things (IoT)Network codingNetwork optimizationWireless sensor networks (WSN)
Publisher
Korean Society for Internet Information
Indexed
SCIE; SCOPUS; KCI WOS scopus
Abstract
In this paper, delay-constrained data transmission is considered over error-prone networks. Network coding is deployed for efficient information exchange, and an approximate decoding approach is deployed to overcome potential all-or-nothing problems. Our focus is on determining the cluster size and its impact on approximate decoding performance. Decoding performance is quantified, and we show that performance is determined only by the number of packets. Moreover, the fundamental tradeoff between approximate decoding performance and data transfer rate improvement is analyzed; as the cluster size increases, the data transfer rate improves and decoding performance is degraded. This tradeoff can lead to an optimal cluster size of network coding-based networks that achieves the target decoding performance of applications. A set of experiment results confirms the analysis. © 2016 KSII.
DOI
10.3837/tiis.2016.03.011
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
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