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Sparse Recovery Using Sparse Sensing Matrix Based Finite Field Optimization in Network Coding Ganzorig GANKHUYAG Eungi HONG Yoonsik CHOE Publication IEICE TRANSACTIONS on Information and Systems Vol.E100-D No.2 pp.375-378 Publication Date: 2017/02/01 Publicized: 2016/11/04 Online ISSN: 1745-1361 DOI: 10.1587/transinf.2016EDL8189 Type of Manuscript: LETTER Category: Information Network Keyword: network coding, compressive sensing, sparse matrices, all-or-nothing property, Full Text: PDF(181.5KB)>>
Summary: Network coding (NC) is considered a new paradigm for distributed networks. However, NC has an all-or-nothing property. In this paper, we propose a sparse recovery approach using sparse sensing matrix to solve the NC all-or-nothing problem over a finite field. The effectiveness of the proposed approach is evaluated based on a sensor network. | ||||||||||
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