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Paper Abstract and Keywords
Presentation 2021-03-02 10:50
A Proposal for Location Predictive V2V Routing Considering Link Quality
Masahiro Nishioka, Michiko Harayama (Gifu Univ) SeMI2020-64
Abstract (in Japanese) (See Japanese page) 
(in English) VANETs, the automotive IoT networks, are currently drawing attention to reducing accidents and improving vehicle convenience. One of the existing location-based V2V routing protocols is GPSR, but GPSR has a problem that the forwarding node determined by routing is out of the propagation range when data is transmitted. However, GPSR has a problem that the forwarding node determined by the routing process leaves outside the propagation range before data transmission. In this study, we propose a new routing protocol that combines the localization prediction used in GPSR+Predict and the link quality evaluation used in LSGR. In this study, a grid area is used to investigate the effect of node density, and traffic flows in the area around Gifu University and Gifu Station are constructed using the traffic simulator SUMO to verify the effect in an area close to the real environment. Furthermore, we simulated communication using ns-3 and investigated the average delivery rate and average delay. As a result, our proposed method showed better results than the existing location-based routing in terms of both delivery rate and delay.
Keyword (in Japanese) (See Japanese page) 
(in English) VANET / V2V Routing / Location information / Position prediction / Link quality / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 382, SeMI2020-64, pp. 35-40, March 2021.
Paper # SeMI2020-64 
Date of Issue 2021-02-22 (SeMI) 
ISSN 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)
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Conference Information
Committee SeMI IPSJ-MBL IPSJ-UBI  
Conference Date 2021-03-01 - 2021-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Computing, Ubiquitous Computing, etc. 
Paper Information
Registration To SeMI 
Conference Code 2021-03-SeMI-MBL-UBI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal for Location Predictive V2V Routing Considering Link Quality 
Sub Title (in English)  
Keyword(1) VANET  
Keyword(2) V2V Routing  
Keyword(3) Location information  
Keyword(4) Position prediction  
Keyword(5) Link quality  
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1st Author's Name Masahiro Nishioka  
1st Author's Affiliation Gifu University (Gifu Univ)
2nd Author's Name Michiko Harayama  
2nd Author's Affiliation Gifu University (Gifu Univ)
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Speaker Author-1 
Date Time 2021-03-02 10:50:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2020-64 
Volume (vol) vol.120 
Number (no) no.382 
Page pp.35-40 
#Pages
Date of Issue 2021-02-22 (SeMI) 


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