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Paper Abstract and Keywords
Presentation 2017-12-15 16:10
An efficient sensor data collection method using CNN
Zhishu Shen, Kenji Yokota, Atsushi Tagami (KDDI Research), Teruo Higashino (Osaja Univ.) IN2017-65
Abstract (in Japanese) (See Japanese page) 
(in English) With the construction of large-scale IoT environments, the traffic volume will explosively increase for collecting sensor data to the Cloud. In this paper, we propose an efficient sensor data collection method for the Fog node utilizing machine learning. The Fog nodes introduce classifiers for estimating an abnormal state (e.g., extremely high sensor temperature data by comparing to the neighboring sensor data). Only when an abnormal state is detected by classifiers, Fog nodes will send the related data to the Cloud. As a result, the traffic volume to the Cloud can be significantly reduced. Furthermore, we verify the effectiveness of our proposed method by using real sensor data collected from a commercial facility.
Keyword (in Japanese) (See Japanese page) 
(in English) Sensor network / Machine learning / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 353, IN2017-65, pp. 115-120, Dec. 2017.
Paper # IN2017-65 
Date of Issue 2017-12-07 (IN) 
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)
Download PDF IN2017-65

Conference Information
Committee IA IN  
Conference Date 2017-12-14 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. 
Paper Information
Registration To IN 
Conference Code 2017-12-IA-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An efficient sensor data collection method using CNN 
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Keyword(1) Sensor network  
Keyword(2) Machine learning  
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1st Author's Name Zhishu Shen  
1st Author's Affiliation KDDI Research, Inc. (KDDI Research)
2nd Author's Name Kenji Yokota  
2nd Author's Affiliation KDDI Research, Inc. (KDDI Research)
3rd Author's Name Atsushi Tagami  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research)
4th Author's Name Teruo Higashino  
4th Author's Affiliation Osaka University (Osaja Univ.)
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Speaker Author-1 
Date Time 2017-12-15 16:10:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2017-65 
Volume (vol) vol.117 
Number (no) no.353 
Page pp.115-120 
#Pages 6 
Date of Issue 2017-12-07 (IN) 

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