| Presentation | 2013-07-18 Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks Akito ITO, Naoya NAMATAME, Jin NAKAZAWA, Hideyuki TOKUDA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Compressive Sensing (CS) is a novel approach for data representation, which can represent signals at a rate below the Nyquist rate with low computation costs on encoder. For these characteristics, CS is very suitable for low power sensor nodes to save power consumption that is a primary problem in Wireless Sensor Networks (WSN). But there are many problems when using CS in a real environment, especially in Body Sensor Network which aims to monitor human health and detect context. We attack the dynamics of sensor data problem that decrease the efficiency of power consumption and accuracy of recovery. To solve the problem, we propose Pattern-based Matrix-size Optimization Algorithm (PMOA), which aims to improve the accuracy of exact recovery and power consump- tion. We performed experiments both in real world and simulation and the result show our approach is effective in energy consumption and reliable. The result shows our approach can achieve the improvement of battery life- time by 11.7%. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Compressive Sensing / Wireless Sensor Network / System Architecture |
| Paper # | NS2013-41,RCS2013-92,SR2013-29,ASN2013-59 |
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| Conference Information | |
| Committee | SR |
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| Conference Date | 2013/7/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Software Radio(SR) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks |
| Sub Title (in English) | |
| Keyword(1) | Compressive Sensing |
| Keyword(2) | Wireless Sensor Network |
| Keyword(3) | System Architecture |
| 1st Author's Name | Akito ITO |
| 1st Author's Affiliation | Graduate School of Media and Governance, Keio University() |
| 2nd Author's Name | Naoya NAMATAME |
| 2nd Author's Affiliation | Graduate School of Media and Governance, Keio University |
| 3rd Author's Name | Jin NAKAZAWA |
| 3rd Author's Affiliation | Faculty of Environment and Information Studies, Keio University |
| 4th Author's Name | Hideyuki TOKUDA |
| 4th Author's Affiliation | Graduate School of Media and Governance, Keio University |
| Date | 2013-07-18 |
| Paper # | NS2013-41,RCS2013-92,SR2013-29,ASN2013-59 |
| Volume (vol) | vol.113 |
| Number (no) | 131 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |