For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Sparse Recovery Using Sparse Sensing Matrix Based Finite Field Optimization in Network Coding
Ganzorig GANKHUYAG Eungi HONG Yoonsik CHOE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2017/02/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Information Network
network coding, compressive sensing, sparse matrices, all-or-nothing property,
Full Text: PDF(181.5KB)
>>Buy this Article
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.