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Reverse Engineering Human Mobility in Large-scale Natural Disasters

Stute, Milan and Maass, Max and Schons, Tom and Hollick, Matthias (2017):
Reverse Engineering Human Mobility in Large-scale Natural Disasters.
In: Proceedings of MSWiM '17, In: The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Miami, FL, November 21-25, 2017, [Online-Edition: https://tuprints.ulb.tu-darmstadt.de/7682],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Stute, Milan and Maass, Max and Schons, Tom and Hollick, Matthias
Title: Reverse Engineering Human Mobility in Large-scale Natural Disasters
Language: English
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.

Title of Book: Proceedings of MSWiM '17
Edition: 2. updated version
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Sichere Mobile Netze
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NiCER – Networked infrastructureless Cooperation for Emergency Response
Event Title: The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Event Location: Miami, FL
Event Dates: November 21-25, 2017
Date Deposited: 11 Nov 2018 20:55
Official URL: https://tuprints.ulb.tu-darmstadt.de/7682
URN: urn:nbn:de:tuda-tuprints-76823
Identification Number: doi:10.1145/3127540.3127542
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