Abstract
Vehicular Ad Hoc Network (VANET) can be defined as a wireless communication Vehicle-to-Vehicle (V2V) or Vehicle to Infrastructure (V2I) insuring the exchanging of warnings and alerts to avoid car accidents as example.
VANET is a type of Mobile Ad Hoc Network (MANET); it can be used as an application in road safety domain to avoid traffic congestion as well as for driving comfort. The efficiency of wireless communication in VANET is related to the routing protocol performance in the network. In order to confirm the results and the efficiency of this protocol, there are many simulators that can be used before using the VANET routing protocols in the real word. VANET simulation is characterized by several challenges and completely different from MANET’s simulation. Road topology, traffic flow, roadside vehicular speed, mobility, and driver’s behaviors are some of these challenges.
In this paper, we give you an overview on the simulation tools and a study of the simulators performance. The aim of this study is to analyze strengths and weakness of simulators commonly used for VANET simulation, based on several criteria mainly considered in the reviewed contributions.
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References
VanetMobiSim Project. http://vanet.eurecom.fr
The Network Simulator - ns-2 (isi.edu)
STRAW - STreet RAndom Waypoint - vehiclar mobility model for network simulations 2021. http://www.aqualab.cs.northwestern.edu/projects/STRAW/index.php
Piorkowski, M., Raya, M., Lugo, A.L., Papadimitratos, P., Grossglauser, M., Hubaux, J.-P.: TraNS (Traffic and Network Simulation Environment). Ecole Polytechnique Fédérale de Lausanne, EPFL, Switzerland (2021). http://trans.epfl.ch/
MOVE (MObility model generator for VEhicular networks): Rapid Generation of Realistic Simulation for VANET (2020). http://lens1.csie.ncku.edu.tw/MOVE/index.htm
Krajzewicz, D., Rossel, C.: Simulation of Urban MObility (SUMO). German Aerospace Centre (2020). http://sumo.sourceforge.net/index.shtml
Martin, J.: GloMoSim, Global mobile information systems simulation library. UCLA Parallel Computing Laboratory (2021). http://pcl.cs.ucla.edu/projects/glomosim/
Network Technologies. Qualnet. Scalable Network Technologies, Inc. (2020). http://www.scalable-networks.com/products/download.php
ns-3 | a discrete-event network simulator for internet systems (nsnam.org)
SWANS: Java in Simulation Time/Scalable Wireless Ad hoc Network Simulator (2020). http://jist.ece.cornell.edu/
Walsh, K., Sirer, E.G.: A staged network simulator (SNS). Computer Science Department, Cornell University (2020). http://www.cs.cornell.edu/people/egs/sns/
Mangharam, R., Weller, D., Rajkumar, R., Mudalige, P., Bai, F.: GrooveNet: A Hybrid Simulator for Vehicle-to-Vehicle Networks. Carnegie Mellon University (2020). http://www.seas.upenn.edu/rahulm/Research/GrooveNet/
NCTUns 5.0 (2021). http://nsl10.csie.nctu.edu.tw/
MobiREAL (2021). http://www.mobireal.net/
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Driouch, B., El Houssaini, MA., El Houssaini, S., El Kafi, J. (2022). Classification Framework and Performance Analysis of VANET Simulators. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-01942-5_76
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DOI: https://doi.org/10.1007/978-3-031-01942-5_76
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