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Paper Abstract and Keywords
Presentation 2019-01-17 14:00
[Encouragement Talk] A Data Compression Method for Autonomous Vehicles Using Edge Computing
Masahiro Yoshida, Koya Mori, Tomohiro Inoue, Hiroyuki Tanaka (NTT) NS2018-178
Abstract (in Japanese) (See Japanese page) 
(in English) Autonomous mobility generates a huge amount of sensor information such as CAN data. Recently, there is a growing interest for collecting CAN data into cloud datacenters in order to realize advanced safe driving support and autonomous driving. Although the size of each CAN data is very small (<16 Byte), an autonomous mobility vehicle may generate more than 1,000 data packets per minute. Autonomous mobility vehicles send CAN data to cloud datacenters via mobile networks with limited capacity. Thus, it is necessary to compress the huge amount of short CAN data packets for efficiency. In this paper, we propose EdgeRE, a practical and efficient architecture of edge enhanced Redundancy Elimination (RE) for autonomous mobility. EdgeRE consists of two packet compression techniques. First, EdgeRE compresses CAN data transported through the mobile network by using packet caching (i.e., rabin fingerprinting). Second, EdgeRE compresses CAN data transported through the internet by using packet coding (i.e., gzip). To reduce the number of packets arriving at the cloud datacenters, EdgeRE packaged together individual CAN data packets at the edge server. As a result, during the on-road evaluation, 84% of CAN data packets was able to be compressed in real time.
Keyword (in Japanese) (See Japanese page) 
(in English) Autonomous Mobility / Edge Computing / CAN Data / Redundancy Elimination (RE) / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 392, NS2018-178, pp. 1-6, Jan. 2019.
Paper # NS2018-178 
Date of Issue 2019-01-10 (NS) 
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 NS2018-178

Conference Information
Committee NS  
Conference Date 2019-01-17 - 2019-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Prefectural Art Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network software (Software Architecture, Middleware), Network Application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, Network/System reliability, Network/System evaluation, etc. 
Paper Information
Registration To NS 
Conference Code 2019-01-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Data Compression Method for Autonomous Vehicles Using Edge Computing 
Sub Title (in English)  
Keyword(1) Autonomous Mobility  
Keyword(2) Edge Computing  
Keyword(3) CAN Data  
Keyword(4) Redundancy Elimination (RE)  
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1st Author's Name Masahiro Yoshida  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Koya Mori  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Tomohiro Inoue  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Hiroyuki Tanaka  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2019-01-17 14:00:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2018-178 
Volume (vol) vol.118 
Number (no) no.392 
Page pp.1-6 
#Pages 6 
Date of Issue 2019-01-10 (NS) 

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