Paper Abstract and Keywords |
Presentation |
2013-07-18 10:20
[Poster Presentation]
Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks Akito Ito, Naoya Namatame, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) NS2013-41 RCS2013-92 SR2013-29 ASN2013-59 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Compressive Sensing / Wireless Sensor Network / System Architecture / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 132, ASN2013-59, pp. 71-76, July 2013. |
Paper # |
ASN2013-59 |
Date of Issue |
2013-07-10 (RCS, SR, ASN), 2013-07-11 (NS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NS2013-41 RCS2013-92 SR2013-29 ASN2013-59 |
Conference Information |
Committee |
ASN RCS NS SR |
Conference Date |
2013-07-17 - 2013-07-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hamamatsu Act City |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Distributed Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), etc. |
Paper Information |
Registration To |
ASN |
Conference Code |
2013-07-ASN-RCS-NS-SR |
Language |
English (Japanese title is available) |
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 |
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Compressive Sensing |
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Wireless Sensor Network |
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System Architecture |
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1st Author's Name |
Akito Ito |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Naoya Namatame |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Jin Nakazawa |
3rd Author's Affiliation |
Keio University (Keio Univ.) |
4th Author's Name |
Hideyuki Tokuda |
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Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2013-07-18 10:20:00 |
Presentation Time |
120 minutes |
Registration for |
ASN |
Paper # |
NS2013-41, RCS2013-92, SR2013-29, ASN2013-59 |
Volume (vol) |
vol.113 |
Number (no) |
no.129(NS), no.130(RCS), no.131(SR), no.132(ASN) |
Page |
pp.43-48(NS), pp.85-90(RCS), pp.51-56(SR), pp.71-76(ASN) |
#Pages |
6 |
Date of Issue |
2013-07-10 (RCS, SR, ASN), 2013-07-11 (NS) |
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