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Synthetic map-based mobility traces for the performance evaluation in opportunistic networks

Authors:

Nils Aschenbruck,

Matthias SchwambornAuthors Info & Claims

MobiOpp '10: Proceedings of the Second International Workshop on Mobile Opportunistic Networking

Pages 143 - 146

https://doi.org/10.1145/1755743.1755769

Published: 22 February 2010 Publication History

Abstract

Realistic, scenario-dependent mobility modeling is crucial for the reliable performance evaluation of wireless networks. For opportunistic networks several measured movement traces are available. However, for scalability and abstraction of the measured scenarios, synthetic mobility models are needed. In the last decade a significant number of synthetic mobility models have been proposed. However, many of these models lack realism. For example, they miss to consider geographic restrictions in a realistic way.

In contrast to this, realistic maps are publicly available. Thus, these maps can help integrating geographic restrictions into mobility models. A quite simple way is to integrate location-based services into a scenario modeling tool. In this paper we show such an integration and evaluate the performance of it, as well. The performance evaluation shows that the runtime for the scenario generation is pretty small, even though location-based services are used.

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Digital Library

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Cited By

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
Senel FAschenbruck N(2023)Optimizing the Deployment of UAV for Mesh Access Network Coverage2023 IEEE 48th Conference on Local Computer Networks (LCN)10.1109/LCN58197.2023.10223381(1-9)Online publication date: 2-Oct-2023
https://doi.org/10.1109/LCN58197.2023.10223381
Schweitzer NStulman A(2020)Effectiveness of DCFM on different mobility models2020 8th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM50532.2020.9272467(1-6)Online publication date: 28-Oct-2020
https://doi.org/10.1109/WINCOM50532.2020.9272467
Show More Cited By

Index Terms

Synthetic map-based mobility traces for the performance evaluation in opportunistic networks
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

Published In

cover image ACM Conferences

MobiOpp '10: Proceedings of the Second International Workshop on Mobile Opportunistic Networking

February 2010

229 pages

ISBN:9781605589251

DOI:10.1145/1755743

General Chair:
Sergio Palazzo
University of Catania, Italy
,
Program Chairs:
Tracy Camp
Colorado School of Mines
,
Marco Conti
IIT-CNR, Italy

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]

Sponsors

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 February 2010

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MobiOpp' 10

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MobiOpp' 10: Workshop on Mobile Opportunistic Networking

February 22 - 23, 2010

Pisa, Italy

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Cited By

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
Senel FAschenbruck N(2023)Optimizing the Deployment of UAV for Mesh Access Network Coverage2023 IEEE 48th Conference on Local Computer Networks (LCN)10.1109/LCN58197.2023.10223381(1-9)Online publication date: 2-Oct-2023
https://doi.org/10.1109/LCN58197.2023.10223381
Schweitzer NStulman A(2020)Effectiveness of DCFM on different mobility models2020 8th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM50532.2020.9272467(1-6)Online publication date: 28-Oct-2020
https://doi.org/10.1109/WINCOM50532.2020.9272467
Tessmer AHanel TAschenbruck N(2020)On the Impact of Geographic Restrictions on Contact Metrics in Opportunistic Networks2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium)10.1109/LCNSymposium50271.2020.9363269(131-140)Online publication date: 17-Nov-2020
https://doi.org/10.1109/LCNSymposium50271.2020.9363269
Bothe AAschenbruck N(2020)BonnMotion 4 – Taking Mobility Generation to the Next Level2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)10.1109/IPCCC50635.2020.9391563(1-8)Online publication date: 6-Nov-2020
https://doi.org/10.1109/IPCCC50635.2020.9391563
Mukhopadhyay AM Y CN N(2020)Transmission of Multimedia Data in Opportunistic Networks2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)10.1109/ICIRCA48905.2020.9183032(668-674)Online publication date: Jul-2020
https://doi.org/10.1109/ICIRCA48905.2020.9183032
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
Solmaz GTurgut D(2019)A Survey of Human Mobility ModelsIEEE Access10.1109/ACCESS.2019.29392037(125711-125731)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2939203
Schwamborn MAschenbruck N(2019)On modeling and impact of geographic restrictions for human mobility in opportunistic networksPerformance Evaluation10.1016/j.peva.2018.12.002130(17-31)Online publication date: Apr-2019
https://doi.org/10.1016/j.peva.2018.12.002
Hanel TSchwamborn MBothe AAschenbruck N(2015)On the map accuracy required for network simulations based on ray launching2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM.2015.7158158(1-8)Online publication date: Jun-2015
https://doi.org/10.1109/WoWMoM.2015.7158158
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