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Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response

Álvarez, Flor and Almon, Lars and Lieser, Patrick and Meuser, Tobias and Dylla, Yannick and Richerzhagen, Björn and Hollick, Matthias and Steinmetz, Ralf :
Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response.
[Online-Edition: https://dl.acm.org/citation.cfm?id=3264845]
In: CHANTS '18 Proceedings of the 13th Workshop on Challenged Networks, October 29, 2018, Neu Delhi, India. CHANTS '18 Proceedings of the 13th Workshop on Challenged Networks ACM
[Conference or Workshop Item] , (2018)

Official URL: https://dl.acm.org/citation.cfm?id=3264845

Abstract

Smartphone-based communication networks form a basis for services in emergency response scenarios, where communication infrastructure is impaired or overloaded. Still, their design and evaluation are largely based on simulations that rely on generic mobility models and weak assumptions regarding user behavior. For a realistic assessment, scenario-specific models are essential. To this end, we conducted a large-scale field test of a set of emergency services that relied solely on ad hoc communication. Over the course of one day, we gathered data from smartphones distributed to 125 participants in a scripted disaster event. In this paper, we present the scenario, measurement methodology, and a first analysis of the data. Our work provides the first trace combining user interaction, mobility, and additional sensor readings of a large-scale emergency response scenario, facilitating future research.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Álvarez, Flor and Almon, Lars and Lieser, Patrick and Meuser, Tobias and Dylla, Yannick and Richerzhagen, Björn and Hollick, Matthias and Steinmetz, Ralf
Title: Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response
Language: English
Abstract:

Smartphone-based communication networks form a basis for services in emergency response scenarios, where communication infrastructure is impaired or overloaded. Still, their design and evaluation are largely based on simulations that rely on generic mobility models and weak assumptions regarding user behavior. For a realistic assessment, scenario-specific models are essential. To this end, we conducted a large-scale field test of a set of emergency services that relied solely on ad hoc communication. Over the course of one day, we gathered data from smartphones distributed to 125 participants in a scripted disaster event. In this paper, we present the scenario, measurement methodology, and a first analysis of the data. Our work provides the first trace combining user interaction, mobility, and additional sensor readings of a large-scale emergency response scenario, facilitating future research.

Title of Book: CHANTS '18 Proceedings of the 13th Workshop on Challenged Networks
Publisher: ACM
Uncontrolled Keywords: Network experimentation Mobile ad hoc networks Network dynamics Network mobility
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
Department of Computer Science
Department of Computer Science > Sichere Mobile Netze
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NiCER – Networked infrastructureless Cooperation for Emergency Response
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
Event Title: CHANTS '18 Proceedings of the 13th Workshop on Challenged Networks
Event Location: Neu Delhi, India
Event Dates: October 29, 2018
Date Deposited: 22 Jan 2019 07:13
DOI: 10.1145/3264844.3264845
Official URL: https://dl.acm.org/citation.cfm?id=3264845
Funders: SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
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