Presentation | 2012-03-09 Path Construction for Sparsity-Constrained Network Tomography Kazushi TAKEMOTO, Takahiro MATSUDA, Tetsuya TAKINE, |
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Abstract(in English) | Network tomography is an inference technique for internal network characteristics from end-to-end measurements. In this article, we consider network tomography based on compressed sensing, which is an emerging theory in signal/image processing for acquiring a sparse vector from a small number of linear measurements. When applied to network tomography, compressed sensing efficiently identifies links with lower communication quality from a small number of end-to-end measurements. We study a path construction scheme for the compressed sensing-based network tomography in networks with a limited number of measurement nodes. From sufficient conditions for recovering sparse vectors, we first derive a desirable property of measurement paths, and then propose a path construction algorithm based on the property. We implement the proposed algorithm in a network with two measurement nodes and evaluate the performance of the algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | network tomography / sparsity constraint / compressed sensing / sparse vector |
Paper # | IN2011-199 |
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Committee | IN |
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Conference Date | 2012/3/1(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Path Construction for Sparsity-Constrained Network Tomography |
Sub Title (in English) | |
Keyword(1) | network tomography |
Keyword(2) | sparsity constraint |
Keyword(3) | compressed sensing |
Keyword(4) | sparse vector |
1st Author's Name | Kazushi TAKEMOTO |
1st Author's Affiliation | School of Engineering, Osaka University() |
2nd Author's Name | Takahiro MATSUDA |
2nd Author's Affiliation | Graduate School of Engineering, Osaka University |
3rd Author's Name | Tetsuya TAKINE |
3rd Author's Affiliation | Graduate School of Engineering, Osaka University |
Date | 2012-03-09 |
Paper # | IN2011-199 |
Volume (vol) | vol.111 |
Number (no) | 469 |
Page | pp.pp.- |
#Pages | 6 |
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