Article

Modelling mobility in disaster area scenarios

Authors:

Nils Aschenbruck,

Elmar Gerhards-Padilla,

Michael Gerharz,

Matthias Frank,

Peter MartiniAuthors Info & Claims

MSWiM '07: Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems

Pages 4 - 12

https://doi.org/10.1145/1298126.1298131

Published: 23 October 2007 Publication History

Abstract

This paper provides a model that realistically represents the movements in a disaster area scenario. The model is based on an analysis of tactical issues of civil protection. This analysis provides characteristics influencing network performance in public safety communication networks like heterogeneous area-based movement, obstacles, and joining/leaving of nodes. As these characteristics cannot be modelled with existing mobility models, we introduce a new disaster area mobility model. To examine the impact of our more realistic modelling, we compare it to existing ones (modelling the same scenario) using different pure movement and link based metrics. The new model shows specific characteristics like heterogeneous node density. Finally, the impact of the new model is evaluated in an exemplary simulative network performance analysis. The simulations show that the new model discloses new information and has a significant impact on performance analysis.

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Cited By

Chandran IVipin K(2024)Multi-UAV networks for disaster monitoring: challenges and opportunities from a network perspectiveDrone Systems and Applications10.1139/dsa-2023-007912(1-28)Online publication date: 1-Jan-2024
https://doi.org/10.1139/dsa-2023-0079
Chandran IVipin K(2024)Multi-UAV Networks for Disaster Monitoring: Challenges and Opportunities from a Network PerspectiveSN Computer Science10.1007/s42979-024-02788-35:5Online publication date: 2-May-2024
https://dl.acm.org/doi/10.1007/s42979-024-02788-3
Alves TRettore PSantos B(2023)A Mobility Model of The Internet of ThingsProceedings of the 29th Brazilian Symposium on Multimedia and the Web10.1145/3617023.3617054(221-229)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3617023.3617054
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Index Terms

Modelling mobility in disaster area scenarios
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis

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Published In

cover image ACM Conferences

MSWiM '07: Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems

October 2007

422 pages

ISBN:9781595938510

DOI:10.1145/1298126

General Chair:
Carla-Fabiana Chiasserini
Politecnico di Torino, Italy
,
Program Chairs:
Nael Abu-Ghazaleh
State University of New York--Binghamton, NY
,
Sotiris Nikoletseas
University of Patras and CTI, Greece

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 October 2007

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MSWiM07

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MSWiM07: 10th International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 22 - 26, 2007

Crete Island, Chania, Greece

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Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Cited By

Chandran IVipin K(2024)Multi-UAV networks for disaster monitoring: challenges and opportunities from a network perspectiveDrone Systems and Applications10.1139/dsa-2023-007912(1-28)Online publication date: 1-Jan-2024
https://doi.org/10.1139/dsa-2023-0079
Chandran IVipin K(2024)Multi-UAV Networks for Disaster Monitoring: Challenges and Opportunities from a Network PerspectiveSN Computer Science10.1007/s42979-024-02788-35:5Online publication date: 2-May-2024
https://dl.acm.org/doi/10.1007/s42979-024-02788-3
Alves TRettore PSantos B(2023)A Mobility Model of The Internet of ThingsProceedings of the 29th Brazilian Symposium on Multimedia and the Web10.1145/3617023.3617054(221-229)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3617023.3617054
Giri AM ADas P(2023)Disaster-Resilient Smart City Framework; A Cross-Layer Protocol Analysis for Emergency Earthquake Response2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)10.1109/ICCCMLA58983.2023.10346620(413-418)Online publication date: 7-Oct-2023
https://doi.org/10.1109/ICCCMLA58983.2023.10346620
Singh SPrasad DRani SSingh AAlharithi FAlmotiri J(2022)Wireless Body Area Routing Protocols Impact Analysis on Entity Mobility Models with Static Sink NodeApplied Sciences10.3390/app1211565512:11(5655)Online publication date: 2-Jun-2022
https://doi.org/10.3390/app12115655
Peer MBohara VSrivastava A(2020)Multi-UAV Placement Strategy for Disaster-Resilient Communication Network2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)10.1109/VTC2020-Fall49728.2020.9348687(1-7)Online publication date: Nov-2020
https://doi.org/10.1109/VTC2020-Fall49728.2020.9348687
Rizzo GRistov SFahringer TGusev MDzanko MBilic IEsposito CBraun T(2020)Emergency Networks for Post-Disaster ScenariosGuide to Disaster-Resilient Communication Networks10.1007/978-3-030-44685-7_11(271-298)Online publication date: 23-Jul-2020
https://doi.org/10.1007/978-3-030-44685-7_11
García-Campos JGutiérrez DSánchez-García JToral Marn S(2018)A Simulation Methodology for Conducting Unbiased and Reliable Evaluation of MANET Communication Protocols in Disaster ScenariosSmart Technologies for Emergency Response and Disaster Management10.4018/978-1-5225-2575-2.ch004(106-143)Online publication date: 2018
https://doi.org/10.4018/978-1-5225-2575-2.ch004
Álvarez FAlmon LLieser PMeuser TDylla YRicherzhagen BHollick MSteinmetz RFeldmann MHassan M(2018)Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency ResponseProceedings of the 13th Workshop on Challenged Networks10.1145/3264844.3264845(3-10)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1145/3264844.3264845
Cabrero SPaneda XMelendi DGarcia RPlagemann T(2018)Using Firefighter Mobility Traces to Understand Ad-Hoc Networks in WildfiresIEEE Access10.1109/ACCESS.2017.27783476(1331-1341)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2017.2778347
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