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A realistic trace-based mobility model for first responder scenarios

Authors:

Matthias Schwamborn,

Nils Aschenbruck,

Peter MartiniAuthors Info & Claims

MSWIM '10: Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems

Pages 266 - 274

https://doi.org/10.1145/1868521.1868564

Published: 17 October 2010 Publication History

Abstract

Realistic modeling of the nodes' mobility is essential for obtaining credible results from the simulative performance evaluation of wireless multi-hop networks. However, most of the mobility models in the literature have not been validated with real world movement traces. To overcome this issue, we follow a trace-based approach to mobility modeling, where movement traces from the real world scenario are statistically analyzed and used for parametrization. In this paper, we introduce and evaluate a new realistic mobility model for first responder scenarios based on such an analysis while also considering geographic restrictions by incorporating free publicly available map data.

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Cited By

Kour SSarangal HSingh MSingh B(2024)Simulative Analysis of Column Mobility Model for Proactive and Reactive Routing Protocols in Highly Dense MANETRecent Advances in Computer Science and Communications10.2174/012666255826494123100205590917:1Online publication date: Jan-2024
https://doi.org/10.2174/0126662558264941231002055909
Kour SSingh MSingh BSarangal H(2024)Comparison of Random, Temporal, Spatial, Geographic, and Trace-Based Mobility Models in Mobile Ad Hoc NetworksAdvances in Data-Driven Computing and Intelligent Systems10.1007/978-981-99-9518-9_34(469-479)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-981-99-9518-9_34
Zheng ZWang FWang DZhang L(2020)An Urban Mobility Model with Buildings InvolvedACM Transactions on Sensor Networks10.1145/336668916:1(1-24)Online publication date: 10-Feb-2020
https://dl.acm.org/doi/10.1145/3366689
Show More Cited By

Index Terms

A realistic trace-based mobility model for first responder scenarios
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Information & Contributors

Information

Published In

cover image ACM Conferences

MSWIM '10: Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems

October 2010

424 pages

ISBN:9781450302746

DOI:10.1145/1868521

General Chairs:
Violet R. Syrotiuk
Arizona State University, USA
,
Fatih Alagöz
Bogazici University, Turkey
,
Program Chairs:
Brahim Bensaou
The Hong Kong University of Science & Technology, Hong Kong
,
Özgür B. Akan
Koç University, Turkey

Copyright © 2010 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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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 October 2010

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MSWiM '10

Sponsor:

SIGSIM

MSWiM '10: The 13th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 17 - 21, 2010

Bodrum, Turkey

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

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Cited By

Kour SSarangal HSingh MSingh B(2024)Simulative Analysis of Column Mobility Model for Proactive and Reactive Routing Protocols in Highly Dense MANETRecent Advances in Computer Science and Communications10.2174/012666255826494123100205590917:1Online publication date: Jan-2024
https://doi.org/10.2174/0126662558264941231002055909
Kour SSingh MSingh BSarangal H(2024)Comparison of Random, Temporal, Spatial, Geographic, and Trace-Based Mobility Models in Mobile Ad Hoc NetworksAdvances in Data-Driven Computing and Intelligent Systems10.1007/978-981-99-9518-9_34(469-479)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-981-99-9518-9_34
Zheng ZWang FWang DZhang L(2020)An Urban Mobility Model with Buildings InvolvedACM Transactions on Sensor Networks10.1145/336668916:1(1-24)Online publication date: 10-Feb-2020
https://dl.acm.org/doi/10.1145/3366689
Safaei BMohammadsalehi AKhoosani KZarbaf SMonazzah ASamie FBauer LHenkel JEjlali A(2020)Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and SurveyIEEE Access10.1109/ACCESS.2020.30227938(167779-167829)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3022793
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
Zheng ZWang FWang DZhang LGupta RHuang PGonzalez M(2018)Buildings affect mobile patternsProceedings of the 5th Conference on Systems for Built Environments10.1145/3276774.3276780(83-92)Online publication date: 7-Nov-2018
https://dl.acm.org/doi/10.1145/3276774.3276780
Radenkovic MWalker ABai L(2018)Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)10.1109/IWCMC.2018.8450430(648-653)Online publication date: Jun-2018
https://doi.org/10.1109/IWCMC.2018.8450430
Hess AHummel KGansterer WHaring G(2015)Data-driven Human Mobility ModelingACM Computing Surveys10.1145/284072248:3(1-39)Online publication date: 22-Dec-2015
https://dl.acm.org/doi/10.1145/2840722
Treurniet J(2014)A Taxonomy and Survey of Microscopic Mobility Models from the Mobile Networking DomainACM Computing Surveys10.1145/261697347:1(1-32)Online publication date: 14-Jul-2014
https://dl.acm.org/doi/10.1145/2616973
Aschenbruck NMunjal ACamp T(2011)Trace-based mobility modeling for multi-hop wireless networksComputer Communications10.1016/j.comcom.2010.11.00234:6(704-714)Online publication date: 1-May-2011
https://dl.acm.org/doi/10.1016/j.comcom.2010.11.002

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