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Author Julian Zobel; Patrick Lieser; Tobias Meuser; Lars Baumgärtner; Mira Mezini; Ralf Steinmetz
Title Modeling Civilian Mobility in Large-Scale Disasters Type Conference Article
Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021
Volume Issue Pages 119-132
Keywords Civilian disaster communication, Delay-Tolerant Networks, Human mobility, Mobility models, Disaster response, Simulation
Abstract When disasters destroy critical communication infrastructure, smartphone-based Delay-Tolerant Networks (DTNs) can provide basic communication for civilians. Although field tests have shown the practicability of such systems, real-world experiments are expensive and hardly repeatable. Simulations are therefore required for the design and extensive evaluation of novel DTN protocols, but meaningful assertions require realistic mobility models for civilians. In this paper, trace files from a large-scale disaster field test are analyzed to identify typical human behavior patterns in a disaster area. Based on this, we derive a novel civilian disaster mobility model that incorporates identified behaviors such as group-based movement and clustering around points-of-interests such as hospitals and shelters. We evaluate the impact of mobility on DTN communication performance by comparing our model with other established mobility models as well as the trace file dataset in a simulative evaluation based on the field test scenario. In general, our mobility model leads to a more realistic assessment of DTN communication performance compared to other mobility models.
Address Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel
Language English Summary Language English Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-61-5 ISBN Medium
Track Analytical Modeling and Simulation Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management
Notes julian.zobel@kom.tu-darmstadt.de Approved no
Call Number ISCRAM @ idladmin @ Serial 2319
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Author Julian Zobel; Ralf Kundel; Ralf Steinmetz
Title CAMON: Aerial-Ground Cooperation System for Disaster Network Detection Type Conference Article
Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022
Volume Issue Pages 87-101
Keywords Aerial Disaster Monitoring System; Delay-Tolerant Networks; Cooperative Network Protocols; Simulation
Abstract Information on large-scale disaster areas, like the location of affected civilians, is highly valuable for disaster relief efforts. This information can be collected by an Aerial Monitoring System, using UAVs to detect smart mobile devices carried by civilians. State-of-the-art systems typically rely on a purely passive detection approach. In this paper, we present a cooperative communication system between UAVs and ground-based devices to improve the detection performance of such an Aerial Monitoring System. We provide different approaches for the cooperative information collection and evaluate them in a simulated inner-city scenario. The results highlight the effectiveness of the cooperative system, being able to detect civilian devices in the disaster area faster and more comprehensively than a non-cooperative approach.
Address Multimedia Communications Lab (KOM) Technical University of Darmstadt, Germany
Corporate Author Thesis
Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand
Language English Summary Language Original Title (up)
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium
Track Analytical Modeling and Simulation Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2401
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