MoVES: A framework for parallel and distributed simulation of wireless vehicular ad hoc networks

  • Authors:

  • Luciano Bononi;Marco Di Felice;Gabriele D'Angelo;Michele Bracuto;Lorenzo Donatiello

  • Affiliations:

  • Department of Computer Science, University of Bologna, Mura Anteo Zamboni 7, 40127 Bologna, Italy;Department of Computer Science, University of Bologna, Mura Anteo Zamboni 7, 40127 Bologna, Italy;Department of Computer Science, University of Bologna, Mura Anteo Zamboni 7, 40127 Bologna, Italy;Department of Computer Science, University of Bologna, Mura Anteo Zamboni 7, 40127 Bologna, Italy;Department of Computer Science, University of Bologna, Mura Anteo Zamboni 7, 40127 Bologna, Italy

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2008

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Abstract

In this paper, we illustrate a Mobile Wireless Vehicular Environment Simulation (MoVES) framework for the parallel and distributed simulation of vehicular wireless ad hoc networks (VANETs). The proposed framework supports extensible, module-based and layered modeling, and scalable, accurate and efficient simulation of vehicular scenarios integrated with wireless communication and mobile services/applications. The vehicular layer includes models for vehicles, synthetic and trace-driven mobility, driver behavior, GPS-based street maps, intersection policies and traffic lights. The wireless communication layer currently includes models for physical propagation, and a network protocol stack including IEEE 802.11 Medium Access Control, up to the Application layer. MoVES provides a platform for microscopic modeling and simulation-based analysis of wireless vehicular scenarios and communication-based services and applications, like Intelligent Transportation Systems, communication-based monitoring/control and info-mobility services. The framework includes design solutions for scalable, accurate and efficient parallel and distributed simulation of complex, vehicular communication scenarios executed over cost-effective, commercial-off-the-shelf (COTS) simulation architectures. Dynamic model partition and adaptation-based load balancing solutions have been designed by exploiting common assumptions and model characteristics, in a user-transparent way. Test-bed performance evaluation for realistic scenarios has shown the effectiveness of MoVES in terms of simulation efficiency, scalability, adaptation and simulation accuracy.