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Modeling and simulation of vehicular networks

Published: 04 November 2011 Publication History

Abstract

Vehicular networks are characterized by highly dynamic network topologies, frequent network fragmentations and the fact that movements of vehicles are constrained to pre-defined roadways. Researchers have devoted considerable efforts to the development of innovative protocols and mechanisms to address the demanding quality of service requirements of various vehicular applications, taking into account of these special characteristics. Even though field testing yields more realistic results, it potentially involves more hazards and can be prohibitively expensive when done at scale. Hence, simulation has been the tool of choice for evaluating the performance of vehicular networking protocols and mechanisms. For simulating a wireless communication scenario in a vehicular networking environment, both the mobility of vehicles and the wireless communications between them should be modeled using appropriate traffic and network simulators, respectively. A conversion tool needs to be used to convert the outputs of traffic simulators to trace-files readable by network simulators. Note that in this case the generation of the trace-files takes place before the network simulation begins. However, for some vehicular applications such as safety or traffic applications, the movements of vehicles are affected by the received packets. So, both traffic and network simulators are expected to be running simultaneously and exchanging data. In this paper, we survey a comprehensive set of both traffic and network simulators as well as possible conversion tools and integration alternatives. We believe that this paper helps the researchers new to the field select appropriate vehicular network platforms and provide them with helpful insights as they run their first vehicular simulations.

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  • (2023)A Comparative Analysis and Study of Vehicular Ad Hoc NetworkProceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)10.2991/978-94-6463-136-4_31(366-381)Online publication date: 1-May-2023
  • (2021)Resource Selection for C-V2X and Simulation Study for Performance Evaluation2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)10.1109/VTC2021-Spring51267.2021.9448905(1-6)Online publication date: Apr-2021
  • (2019)Online and offline communication architecture for vehicular ad-hoc networks using NS3 and SUMO simulatorsJournal of High Speed Networks10.3233/JHS-19061525:3(253-271)Online publication date: 1-Jan-2019
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    cover image ACM Conferences
    DIVANet '11: Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
    November 2011
    140 pages
    ISBN:9781450309042
    DOI:10.1145/2069000
    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: 04 November 2011

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    Author Tags

    1. conversion tools
    2. integrated platforms
    3. network simulators
    4. road traffic simulators
    5. vehicular networks

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    View all
    • (2023)A Comparative Analysis and Study of Vehicular Ad Hoc NetworkProceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)10.2991/978-94-6463-136-4_31(366-381)Online publication date: 1-May-2023
    • (2021)Resource Selection for C-V2X and Simulation Study for Performance Evaluation2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)10.1109/VTC2021-Spring51267.2021.9448905(1-6)Online publication date: Apr-2021
    • (2019)Online and offline communication architecture for vehicular ad-hoc networks using NS3 and SUMO simulatorsJournal of High Speed Networks10.3233/JHS-19061525:3(253-271)Online publication date: 1-Jan-2019
    • (2016)ELDPInternational Journal of Distributed Sensor Networks10.1155/2016/57675692016Online publication date: 1-Apr-2016
    • (2016)An Integrated Simulation Environment for Testing V2X Protocols and ApplicationsProcedia Computer Science10.1016/j.procs.2016.05.52480:C(2042-2052)Online publication date: 1-Jun-2016
    • (2016)Privacy-preserving electronic road pricing system for low emission zones with dynamic pricingSecurity and Communication Networks10.1002/sec.15269:16(3197-3218)Online publication date: 10-Nov-2016
    • (2015)Swarm-Based Controller for Traffic Lights ManagementAI*IA 2015 Advances in Artificial Intelligence10.1007/978-3-319-24309-2_2(17-30)Online publication date: 17-Oct-2015
    • (2014)Swarm-based traffic lights policy selectionProceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications10.1145/2656346.2656364(1-7)Online publication date: 21-Sep-2014
    • (2014)Implementing and evaluating V2X protocols over iTETRISProceedings of the fourth ACM international symposium on Development and analysis of intelligent vehicular networks and applications10.1145/2656346.2656363(25-32)Online publication date: 21-Sep-2014
    • (2013)Markov-History Based Modeling for Realistic Mobility of Vehicles in VANETs2013 IEEE 77th Vehicular Technology Conference (VTC Spring)10.1109/VTCSpring.2013.6692628(1-5)Online publication date: Jun-2013
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