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| 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 |
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| 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 |
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| 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 |
| Keyword(4) | |
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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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