Advertisement

The Role of Network and Mobility Simulators in Evaluating Vehicular Networks

  • Gongjun Yan
  • Jingli Lin
  • Danda Rawat
  • Justin C. Enyart
Part of the Communications in Computer and Information Science book series (CCIS, volume 135)

Abstract

Simulators are important tools in evaluating research in vehicular networks. Typically, vehicle movements are determined by a vehicle mobility simulator, and the movement trace is then input into a network simulator to simulate communication between the vehicles. So, it is important to consider both mobility and network simulators. We present an overview of popular simulators used in vehicular networking research along with an experimental comparison of two popular vehicular mobility simulators. We show that the mobility model and topology used can greatly affect the network performance.

Keywords

Vehicular networks mobility models simulators 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Haerri, J., Filali, F., Bonnet, C.: Mobility models for vehicular ad hoc networks: a survey and taxonomy. IEEE Communications Surveys and Tutorials (epublication)Google Scholar
  2. 2.
    Yan, G., Ibrahim, K., Weigle, M.C.: Vehicular network simulators. In: Olariu, S., Weigle, M.C. (eds.) Vehicular Networks: From Theory to Practice. Chapman and Hall/CRC (2009)Google Scholar
  3. 3.
    Kurkowski, S., Camp, T., Colagrosso, M.: Manet simulation studies: the incredibles. ACM SIGMOBILE Mobile Computing and Communications Review 9(4), 50–61 (2005)CrossRefGoogle Scholar
  4. 4.
    Antoniotti, M., Göllü, A.: SHIFT and SmartAHS: A language for hybrid systems engineering, modeling, and simulation. In: Proceedings of the USENIX Conference of Domain Specific Languages, Santa Barbara, CA, pp. 171–182 (1997)Google Scholar
  5. 5.
    Delorme, D., Song, B.: Human driver model for SmartAHS, Tech. rep., California PATH, University of California, Berkeley (April 2001)Google Scholar
  6. 6.
    Microsimulation of road traffic, http://www.traffic-simulation.de/
  7. 7.
    Vanetmobisim project home page, http://vanet.eurecom.fr
  8. 8.
  9. 9.
    Vanet simulator sumo, http://sumo.sourceforge.net/
  10. 10.
    Karnadi, F., Mo, Z.H., Lan, K.-C.: Rapid generation of realistic mobility models for VANET. In: Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), pp. 2506–2511 (2007)Google Scholar
  11. 11.
    McCanne, S., Floyd, S.: ns network simulator, http://www.isi.edu/nsnam/ns/
  12. 12.
    J-sim home page, http://www.j-sim.org/
  13. 13.
    Barr, R., Haas, Z., van Renesse, R.: Scalable Wireless Ad Hoc Network Simulation. In: Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad hoc Wireless, and Peer-to-Peer Networks, pp. 297–311. CRC Press, Boca Raton (2005)Google Scholar
  14. 14.
    Kargl, F., Schoch, E.: Simulation of MANETs: A qualitative comparison between JiST/SWANS and ns-2. In: Proceedings of the International Workshop on System Evaluation for Mobile Platforms (MobiEval), San Juan, Puerto Rico, pp. 41–46 (2007)Google Scholar
  15. 15.
    Perkins, C.E., Royer, E.M.: Ad hoc on-demand distance vector routing. In: Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, New Orleans, LA, pp. 90–100 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Gongjun Yan
    • 1
  • Jingli Lin
    • 2
  • Danda Rawat
    • 3
  • Justin C. Enyart
    • 1
  1. 1.Indiana University KokomoKokomoUSA
  2. 2.Xihua UniversityChengduChina
  3. 3.Old Dominion UniversityNorfolkUSA

Personalised recommendations