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Reverse Engineering Human Mobility in Large-scale Natural Disasters

Schmittner, Milan ; Maass, Max ; Schons, Tom ; Hollick, Matthias
Secure Mobile Networking Lab (ed.) :

Reverse Engineering Human Mobility in Large-scale Natural Disasters.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/6689]
Secure Mobile Networking Lab (.) In: The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, November 21-25, 2017, Miami, FL. Proceedings of MSWiM '17
[Konferenz- oder Workshop-Beitrag], (2017)

Offizielle URL: http://tuprints.ulb.tu-darmstadt.de/6689

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: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2017
Autor(en): Schmittner, Milan ; Maass, Max ; Schons, Tom ; Hollick, Matthias
Titel: Reverse Engineering Human Mobility in Large-scale Natural Disasters
Sprache: Englisch
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.

Buchtitel: Proceedings of MSWiM '17
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik > Sichere Mobile Netze
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Veranstaltungstitel: The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Veranstaltungsort: Miami, FL
Veranstaltungsdatum: November 21-25, 2017
Hinterlegungsdatum: 13 Aug 2017 19:55
Offizielle URL: http://tuprints.ulb.tu-darmstadt.de/6689
URN: urn:nbn:de:tuda-tuprints-66898
ID-Nummer: doi:10.1145/3127540.3127542
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