Stute, Milan ; Maass, Max ; Schons, Tom ; Hollick, Matthias (2017)
Reverse Engineering Human Mobility in Large-scale Natural Disasters.
20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. Miami, USA (21.-25.11.2017)
Konferenzveröffentlichung, Zweitveröffentlichung
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Kurzbeschreibung (Abstract)
Delay/Disruption-Tolerant Networks (DTNs) have been around for more than a decade and have especially been proposed to be used in scenarios where communication infrastructure is unavailable. In such scenarios, DTNs can offer a best-effort communication service by exploiting user mobility. Natural disasters are an important application scenario for DTNs when the cellular network is destroyed by natural forces. To assess the performance of such networks before deployment, we require appropriate knowledge of human mobility.
In this paper, we address this problem by designing, implementing, and evaluating a novel mobility model for large-scale natural disasters. Due to the lack of GPS traces, we reverse-engineer human mobility of past natural disasters (focusing on 2010 Haiti earthquake and 2013 Typhoon Haiyan) by leveraging knowledge of 126 experts from 71 Disaster Response Organizations (DROs). By means of simulation-based experiments, we compare and contrast our mobility model to other well-known models, and evaluate their impact on DTN performance. Finally, we make our source code available to the public.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Stute, Milan ; Maass, Max ; Schons, Tom ; Hollick, Matthias |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Reverse Engineering Human Mobility in Large-scale Natural Disasters |
| Sprache: | Englisch |
| Publikationsjahr: | 21 November 2017 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2017 |
| Verlag: | ACM |
| Buchtitel: | MSWiM '17: 20th ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems |
| Veranstaltungstitel: | 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems |
| Veranstaltungsort: | Miami, USA |
| Veranstaltungsdatum: | 21.-25.11.2017 |
| Auflage: | 2. updated version |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/7682 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Delay/Disruption-Tolerant Networks (DTNs) have been around for more than a decade and have especially been proposed to be used in scenarios where communication infrastructure is unavailable. In such scenarios, DTNs can offer a best-effort communication service by exploiting user mobility. Natural disasters are an important application scenario for DTNs when the cellular network is destroyed by natural forces. To assess the performance of such networks before deployment, we require appropriate knowledge of human mobility. In this paper, we address this problem by designing, implementing, and evaluating a novel mobility model for large-scale natural disasters. Due to the lack of GPS traces, we reverse-engineer human mobility of past natural disasters (focusing on 2010 Haiti earthquake and 2013 Typhoon Haiyan) by leveraging knowledge of 126 experts from 71 Disaster Response Organizations (DROs). By means of simulation-based experiments, we compare and contrast our mobility model to other well-known models, and evaluate their impact on DTN performance. Finally, we make our source code available to the public. |
| URN: | urn:nbn:de:tuda-tuprints-76823 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Sichere Mobile Netze DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users LOEWE LOEWE > LOEWE-Schwerpunkte LOEWE > LOEWE-Schwerpunkte > NICER – Vernetzte infrastrukturlose Kooperation zur Krisenbewältigung |
| Hinterlegungsdatum: | 11 Nov 2018 20:55 |
| Letzte Änderung: | 05 Jan 2024 09:15 |
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| Suche nach Titel in: | TUfind oder in Google |
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