| アイテムタイプ |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2023-10-12 |
| 書誌情報 |
en : IEEE Transactions on Mobile Computing
p. 1-17,
ページ数 17,
発行日 2022-12-22
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| タイトル |
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|
タイトル |
Probabilistic Control of Dynamic Crowds Toward Uniform Spatial-Temporal Coverage |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
vehicular crowd sensing |
| キーワード |
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|
言語 |
en |
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主題Scheme |
Other |
|
主題 |
environmental monitoring |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
spatial-temporal coverage |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
probabilistic control |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
小川, 祐紀雄
Hasegawa, Go
Murata, Masayuki
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| 抄録 |
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|
内容記述タイプ |
Abstract |
|
内容記述 |
Vehicular mobility and connectivity vary significantly over space and time when vehicular crowd sensing covers a city-wide area for a long time period, but it is important to achieve sufficiently uniform data coverage to satisfy the requirements of an environmental monitoring scenario. Our goal is thus to ensure uniform spatial-temporal coverage of sensed data over a city-wide area despite such vehicle dynamics. For a large area, trajectory-based approaches must deal with a great number and variety of participant mobility patterns. Hence, we propose a probabilistic control mechanism that adaptively adjusts the incentive to each participant, without using any prior information about participants. We provide a mathematical analysis that ensures stability of the number of participants with assigned tasks (called workers), and we evaluate the mechanism’s robustness by using 24-hr vehicle trace data from a city-wide area. Our results demonstrate that, when the number of participants is up to 1500 times higher than the required number of workers, sensing actions result in a distribution with a mean of about 1 and an interquartile range of around 4 for a required sensing interval; moreover, the mean increases by 2% when 30% of communication messages are randomly lost. |
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言語 |
en |
| 出版者 |
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|
出版者 |
IEEE |
|
言語 |
en |
| 出版者版へのリンク |
|
|
言語 |
en |
|
URL |
https://doi.org/10.1109/TMC.2022.3231530 |
| DOI |
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|
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 |
10.1109/TMC.2022.3231530 |
| ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
1536-1233 |
| 権利 |
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|
権利情報 |
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
|
言語 |
en |
| 著者版フラグ |
|
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出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
TMC-2022-07-0642-main.pdf (3.6 MB)
