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Paper Abstract and Keywords
Presentation 2020-11-18 15:25
DCT Compression considering Spatial Correlation for WSNs
Kohei Natsume (UEC), Mai Ohta (Fukuoka Univ.), Koichi Adachi (UEC), Osamu Takyu (Shinshu Univ.), Takeo Fujii (UEC) SR2020-30
Abstract (in Japanese) (See Japanese page) 
(in English) In wireless sensor networks (WSNs), it is necessary to reduce power consumption of sensor nodes (SNs) for realizing a long-life network. The data compression techniques can effectively reduce power consumption at an SN. For limitations of power and processing resources, a simple and high performance compression method should be chosen. In this paper, we propose a discrete cosine transform (DCT) compression technique considering spatial correlation. The proposed method sorts a series of SNs to minimize the spatial Euclidean distance between SNs. The computer simulation using actual measured temperature in a room evaluates the data reconstruction accuracy of the conventional DCT and the proposed method. The simulation results show that the proposed method can improve the data reconstruction accuracy. When the allowable error is set at 0.5 [degree Celsius], compared with the conventional DCT, the data that achieves allowable error improve more than 10 [%].
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless sensor networks / Data compression / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 238, SR2020-30, pp. 50-55, Nov. 2020.
Paper # SR2020-30 
Date of Issue 2020-11-11 (SR) 
ISSN 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)
Download PDF SR2020-30

Conference Information
Committee SR  
Conference Date 2020-11-18 - 2020-11-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Radio, Cognitive Radio, Spectrum Sharing, etc. 
Paper Information
Registration To SR 
Conference Code 2020-11-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DCT Compression considering Spatial Correlation for WSNs 
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Keyword(1) Wireless sensor networks  
Keyword(2) Data compression  
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1st Author's Name Kohei Natsume  
1st Author's Affiliation The University of Electro-Communication (UEC)
2nd Author's Name Mai Ohta  
2nd Author's Affiliation Fukuoka University (Fukuoka Univ.)
3rd Author's Name Koichi Adachi  
3rd Author's Affiliation The University of Electro-Communication (UEC)
4th Author's Name Osamu Takyu  
4th Author's Affiliation Shinshu University (Shinshu Univ.)
5th Author's Name Takeo Fujii  
5th Author's Affiliation The University of Electro-Communication (UEC)
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Speaker Author-1 
Date Time 2020-11-18 15:25:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2020-30 
Volume (vol) vol.120 
Number (no) no.238 
Page pp.50-55 
#Pages 6 
Date of Issue 2020-11-11 (SR) 

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