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

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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  • (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
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  • (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
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        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
        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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        Published: 22 February 2010

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        Author Tags

        1. mobility model
        2. opportunistic networks
        3. simulation

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        View all
        • (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
        • (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
        • (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
        • (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
        • (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
        • (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
        • (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
        • (2019)A Survey of Human Mobility ModelsIEEE Access10.1109/ACCESS.2019.29392037(125711-125731)Online publication date: 2019
        • (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
        • (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
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