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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
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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)
Download PDF 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 
Sub Title (in English)  
Keyword(1) Compressive Sensing  
Keyword(2) Wireless Sensor Network  
Keyword(3) 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  
4th Author's Affiliation 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
Date of Issue 2013-07-10 (RCS, SR, ASN), 2013-07-11 (NS) 


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