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Paper Abstract and Keywords
Presentation 2022-10-05 11:35
Diffusion Performance Evaluation of Complementary Data Transmission Control Method for Large Spatio-Temporal Data Retention
Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2022-78
Abstract (in Japanese) (See Japanese page) 
(in English) Spatio-temporal data is a type of IoT data that depends on the generated geographical location and time, such as weather and traffic information. To effectively utilize such STDs at a position close to the user, we have proposed a spatio-temporal data retention system (STD-RS) using VANETs. In the STD-RS, we also have proposed transmission control methods for large spatio-temporal data retention because STDs are not only simple sensor data but also media data such as photos and videos. However, previous researches are difficult to effectively retain large STDs when some data consisting of an STD is frequently lost due to packet collisions and the deterioration of wireless link quality on a communication channel. In this paper, we propose a complementary data transmission control scheme in which vehicles effectively complement lost data to surrounding vehicles. We evaluated the diffusion performance of the proposed scheme under the environment where all the nodes are fixed. Simulation results show that our proposed scheme can diffuse and retain large spatio-temporal data effectively even under severe conditions of a wireless environment.
Keyword (in Japanese) (See Japanese page) 
(in English) Vehicular Network / Local Production and Consumption of Data / Spatio-Temporal Data Retension / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 198, NS2022-78, pp. 3-3, Oct. 2022.
Paper # NS2022-78 
Date of Issue 2022-09-28 (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 NS2022-78

Conference Information
Committee NS  
Conference Date 2022-10-05 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaidou University + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network architecture (5G, Local 5G, Beyond5G, Mobile networks, Ad-hoc and sensor networks, Overlay and P2P networks, Programmable networks, SDN/NFV, IoT, Network slicing), Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc. 
Paper Information
Registration To NS 
Conference Code 2022-10-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Diffusion Performance Evaluation of Complementary Data Transmission Control Method for Large Spatio-Temporal Data Retention 
Sub Title (in English)  
Keyword(1) Vehicular Network  
Keyword(2) Local Production and Consumption of Data  
Keyword(3) Spatio-Temporal Data Retension  
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1st Author's Name Hotaka Kaneyasu  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Daiki Nobayashi  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Kazuya Tsukamoto  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
4th Author's Name Takeshi Ikenaga  
4th Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2022-10-05 11:35:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2022-78 
Volume (vol) vol.122 
Number (no) no.198 
Page p.3 
#Pages 1 
Date of Issue 2022-09-28 (NS) 

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