Modeling CSMA/CA in VANET

  • Anh Tuan Giang
  • Anthony Busson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7314)


In this paper, we propose a simple theoretical model to compute the maximum spatial reuse feasible in a VANET. We focus on the ad hoc mode of the IEEE 802.11p standard. Our model offers simple and closed formulae on the maximum number of simultaneous transmitters, and on the distribution of the distance between them. It leads to an accurate upper bound on the maximum capacity. In order to validate our approach, results from the analytical models are compared to simulations performed with the network simulator NS-3. We take into account different traffic distributions (traffic of vehicles) and we study the impact of this traffic on capacity.


Markov Chain Radio Range Frame Error Rate Spatial Reuse Simultaneous Transmitter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Fisher, W. (ed.), Armstrong, L. (chair): Status of project ieee 802.11 task group p. wireless access in vehicular environments (wave),
  2. 2.
    Hartenstein, H., Laberteaux, K.K.: VANET Vehicular Applications and Inter-Networking Technologies. Wiley (2009)Google Scholar
  3. 3.
    Network simulator 3 - ns3,
  4. 4.
    Gupta, P., Kumar, P.: Capacity of wireless networks. IEEE Transactions on Information Theory 46(2), 388–404 (2000)MathSciNetzbMATHCrossRefGoogle Scholar
  5. 5.
    Franceschetti, M., Dousse, O., Tse, D., Thiran, P.: Closing the gap in the capacity of wireless networks via percolation theory. IEEE Transactions on Information Theory 53(3), 1009–1018 (2007)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Dousse, O., Thiran, P.: Connectivity vs capacity in dense ad hoc networks. In: Conference on Computer Communications (INFOCOM), Hong Kong, China. IEEE (March 2004)Google Scholar
  7. 7.
    Mhatre, V., Rosenberg, C., Mazumdar, R.: On the capacity of ad-hoc networks under random packet losses. IEEE Transactions on Information Theory 55(6), 2494–2498 (2009)CrossRefGoogle Scholar
  8. 8.
    Busson, A., Chelius, G.: Point processes for interference modeling in csma/ca ad-hoc networks. In: Sixth ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN 2009), Tenerife, Spain (October 2009)Google Scholar
  9. 9.
    Pishro-Nik, H., Ganz, A., Ni, D.: The capacity of vehicular ad hoc networks. In: 45th Annual Allerton Conference on Communication, Control and Computing, Allerton, USA (September 2007)Google Scholar
  10. 10.
    Nekaoui, M., Eslami, A., Pishro-Nik, H.: Scaling laws for distance limited communications in vehicular ad hoc networks. In: IEEE International Conference on Communications, ICC 2008, Beijing, China (May 2008)Google Scholar
  11. 11.
    Du, L., Ukkusri, S., Yushimito Del Valle, W.F., Kalyanaraman, S.: Optimization models to characterize the broadcast capacity of vehicular ad hoc networks. Transportation Research, Part C, Emerging Technologies 17(6), 571–585 (2009)CrossRefGoogle Scholar
  12. 12.
    Hall, P.: Introduction to the Theory of Coverage Processes. Wiley (1988)Google Scholar
  13. 13.
    Druitt, S.: An introduction to microsimulation. Traffic Engineering and Control 39(9) (1998)Google Scholar
  14. 14.
    Ahmed, K.I.: Modeling Drivers’ Acceleration and Lane Changing Behavior. PhD thesis, Massachusetts Institute of Technology (1999)Google Scholar
  15. 15.
    Diaconis, P., Freedman, D.: On markov chains with continuous state space. Mathematics Statistics Library (501), 1–11 (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Anh Tuan Giang
    • 1
  • Anthony Busson
    • 1
  1. 1.Laboratory of Signals and SystemsUniversité Paris Sud, Supélec, CNRSFrance

Personalised recommendations