WEKO3
アイテム
On Interactions between Evacuation Behavior and Information Dissemination via Heterogeneous DTN
https://ipsj.ixsq.nii.ac.jp/records/216374
https://ipsj.ixsq.nii.ac.jp/records/216374ba1f7c3e-655e-45fb-af45-0d28f68cdaa9
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Copyright (c) 2022 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Journal(1) | |||||||||||||
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公開日 | 2022-02-15 | |||||||||||||
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タイトル | On Interactions between Evacuation Behavior and Information Dissemination via Heterogeneous DTN | |||||||||||||
タイトル | ||||||||||||||
言語 | en | |||||||||||||
タイトル | On Interactions between Evacuation Behavior and Information Dissemination via Heterogeneous DTN | |||||||||||||
言語 | ||||||||||||||
言語 | eng | |||||||||||||
キーワード | ||||||||||||||
主題Scheme | Other | |||||||||||||
主題 | [特集:ネットワークサービスと分散処理(推薦論文)] disaster, evacuation behavior, Delay/Disruption Tolerant Network (DTN), disaster information network system | |||||||||||||
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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 | |||||||||||||
著者所属 | ||||||||||||||
Graduate School of Integrated Science and Technology, Shizuoka University | ||||||||||||||
著者所属 | ||||||||||||||
Graduate School of Science and Technology, Shizuoka University | ||||||||||||||
著者所属 | ||||||||||||||
Graduate School of Information and Science, Osaka University/University of California, Los Angeles | ||||||||||||||
著者所属 | ||||||||||||||
College of Engineering, Academic Institute, Shizuoka University/Research Institute of Green Science and Technology, Shizuoka University | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Graduate School of Integrated Science and Technology, Shizuoka University | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Graduate School of Science and Technology, Shizuoka University | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
Graduate School of Information and Science, Osaka University / University of California, Los Angeles | ||||||||||||||
著者所属(英) | ||||||||||||||
en | ||||||||||||||
College of Engineering, Academic Institute, Shizuoka University / Research Institute of Green Science and Technology, Shizuoka University | ||||||||||||||
著者名 |
Yudai, Yahara
× Yudai, Yahara
× Arata, Kato
× Mineo, Takai
× Susumu, Ishihara
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著者名(英) |
Yudai, Yahara
× Yudai, Yahara
× Arata, Kato
× Mineo, Takai
× Susumu, Ishihara
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論文抄録 | ||||||||||||||
内容記述タイプ | Other | |||||||||||||
内容記述 | Disaster information-sharing among emergency personnel and residents helps facilitate quick and safe evacuation from disaster areas. However, it is difficult to communicate with people in disaster areas when communications infrastructure is not available. To tackle this problem, we have been developing a heterogeneous delay/disruption tolerant network (DTN)-based disaster information-sharing system that uses long-range narrowband links (e.g., LoRa) and short-range broadband links (e.g., Wi-Fi). Our disaster information-sharing system disseminates evacuation recommendations, evacuation routes, and other vital information to residents in disaster-stricken areas by the store-carry-forward method using residents' mobile devices and relay nodes installed at roadsides, fire departments, and shelters. Since evacuee movements and information dissemination in heterogeneous DTN affect each other, and since understanding those interactions will facilitate the development of more efficient disaster information distribution strategies, we developed a simple cellular-automaton-based simulation model to investigate data dissemination in our heterogeneous-DTN system and analyzed those interactions. Our simulation results revealed a particular complication that we have named the “leaving-behind phenomenon,” in which people who have obtained information on damaged roads take detours to a shelter before providing the same information to the evacuees that will approach the damaged road. Based on our simulation results, we report on a way to alleviate this problem by installing fixed relay nodes at the most suitable locations. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) DOI http://dx.doi.org/10.2197/ipsjjip.30.120 ------------------------------ |
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論文抄録(英) | ||||||||||||||
内容記述タイプ | Other | |||||||||||||
内容記述 | Disaster information-sharing among emergency personnel and residents helps facilitate quick and safe evacuation from disaster areas. However, it is difficult to communicate with people in disaster areas when communications infrastructure is not available. To tackle this problem, we have been developing a heterogeneous delay/disruption tolerant network (DTN)-based disaster information-sharing system that uses long-range narrowband links (e.g., LoRa) and short-range broadband links (e.g., Wi-Fi). Our disaster information-sharing system disseminates evacuation recommendations, evacuation routes, and other vital information to residents in disaster-stricken areas by the store-carry-forward method using residents' mobile devices and relay nodes installed at roadsides, fire departments, and shelters. Since evacuee movements and information dissemination in heterogeneous DTN affect each other, and since understanding those interactions will facilitate the development of more efficient disaster information distribution strategies, we developed a simple cellular-automaton-based simulation model to investigate data dissemination in our heterogeneous-DTN system and analyzed those interactions. Our simulation results revealed a particular complication that we have named the “leaving-behind phenomenon,” in which people who have obtained information on damaged roads take detours to a shelter before providing the same information to the evacuees that will approach the damaged road. Based on our simulation results, we report on a way to alleviate this problem by installing fixed relay nodes at the most suitable locations. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.30(2022) (online) DOI http://dx.doi.org/10.2197/ipsjjip.30.120 ------------------------------ |
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書誌レコードID | ||||||||||||||
収録物識別子タイプ | NCID | |||||||||||||
収録物識別子 | AN00116647 | |||||||||||||
書誌情報 |
情報処理学会論文誌 巻 63, 号 2, 発行日 2022-02-15 |
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ISSN | ||||||||||||||
収録物識別子タイプ | ISSN | |||||||||||||
収録物識別子 | 1882-7764 |