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Reverse Engineering Human Mobility in Large-scale Natural Disasters

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 (21.11.2017-25.11.2017)
doi: 10.1145/3127540.3127542
Konferenzveröffentlichung, Bibliographie

Dies ist die neueste Version dieses Eintrags.

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: Bibliographie
Titel: Reverse Engineering Human Mobility in Large-scale Natural Disasters
Sprache: Englisch
Publikationsjahr: 2017
Ort: Darmstadt
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: 21.11.2017-25.11.2017
Auflage: 2. updated version
DOI: 10.1145/3127540.3127542
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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.

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: 05 Jan 2024 09:16
Letzte Änderung: 05 Jan 2024 09:16
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