| アイテムタイプ |
学術雑誌論文 = Journal Article(1) |
| 公開日 |
2023-10-20 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| タイトル |
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|
タイトル |
Location-Based Autonomous Transmission Control Method for Spatio-Temporal Data Retention System |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
野林, 大起
塚本, 和也
池永, 全志
Lee, Myung
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| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
With the development and spread of IoT technology, various devices have been connected to networks. Some data generated from IoT devices depends on geographical location and time (Spatio-Temporal Data). The realization of an architecture for “local production and consumption of STDs” can contribute to location-dependent applications, and therefore we have proposed the STD retention system with vehicles. In our previous study, the vehicle controlled the data transmission probability according to the density of the neighboring vehicles in order to reduce the data transmissions. However, since this method requires all vehicles to transmit beacons, it suffers from the excessive beacon collision when the vehicle density becomes high. In this paper, we propose a data transmission control method that realizes STD retention without transmitting beacons. Our simulation results using Luxembourg model demonstrates that the proposed method can achieve high coverage rate while decreasing the number of data transmissions compared with the existing transmission method based on transmission probability control in real environments. |
|
言語 |
en |
| 備考 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
17th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2022), 27-29 October, 2022, Tirana, Albania |
|
言語 |
en |
| 書誌情報 |
en : Lecture Notes in Networks and Systems
巻 570,
p. 224-235,
発行日 2022-10-18
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| 出版社 |
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出版者 |
Springer |
| DOI |
|
|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1007/978-3-031-20029-8_22 |
| ISBN |
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|
関連タイプ |
isVersionOf |
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識別子タイプ |
ISBN |
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|
関連識別子 |
978-3-031-20028-1 |
| ISBN |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
ISBN |
|
|
関連識別子 |
978-3-031-20029-8 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
2367-3370 |
| ISSN |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2367-3389 |
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Networks and Systems. The final authenticated version is available online at: https://doi.org/10.1007/978-3-031-20029-8_22 |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/11247_ja.html |
BWCCA2022_nobayashi_v4-final.pdf (2.2 MB)
