TU Darmstadt / ULB / TUprints

Reverse Engineering Human Mobility in Large-scale Natural Disasters

Stute, Milan and Maass, Max and Schons, Tom and Hollick, Matthias Secure Mobile Networking Lab (Corporate Creator) (2017):
Reverse Engineering Human Mobility in Large-scale Natural Disasters.
In: Proceedings of MSWiM '17, 2. updated version,
In: The 20th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Miami, FL, November 21-25, 2017, DOI: 10.1145/3127540.3127542,
[Conference or Workshop Item]

This is the latest version of this item.

[img]
Preview
2nd version with updated author surname - Text
main.pdf - Updated Version
Available under only the rights of use according to UrhG.

Download (3MB) | Preview
Item Type: Conference or Workshop Item
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
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Sichere Mobile Netze
DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users
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: 05 Nov 2018 12:04
Last Modified: 15 Nov 2019 08:11
DOI: 10.1145/3127540.3127542
Related URLs:
URN: urn:nbn:de:tuda-tuprints-76823
Identification Number: 10.1145/3127540.3127542
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/7682
Export:

Available Versions of this Item

Actions (login required)
View Item View Item