Characterization of Carrier Sense Multiple Access in Vehicular Propagation Channels

  • J. MittagEmail author
  • H. Hartenstein
Conference paper


Wireless communications between vehicles is considered to be one of the building blocks in order to increase the safety level offered by future intelligent transportation systems. While it sounds intuitively convincing that a periodic exchange of status information, e.g. the current position, speed and driving direction, may help to avoid dangerous traffic situations or driving maneuvers, it is not clear whether the envisioned communications system, i.e. IEEE 802.11p, is sufficiently reliable and robust. In particular, it is not clear whether the employed Carrier Sense Multiple Access (CSMA) mechanism employed at the medium access control (MAC) layer is able to coordinate concurrent access by multiple network nodes in a highly dynamic environment as intended. In this paper, we evaluate the performance of the CSMA-based coordination mechanism employed by IEEE 802.11p. The evaluation is based on a network simulation framework that emulates the signal processing steps of a transceiver and accurately models the multi-path propagation effects of the wireless vehicular radio channel. Due to this accuracy, the execution of such high fidelity simulations is computationally highly expensive and represents a prominent example of the discipline called Computational Science and Engineering (CSE). Based on the results of our evaluation, we come to the conclusion that CSMA is able to coordinate concurrent access in vehicular environments, even if fading radio propagation characteristics are present.


Medium Access Control Receive Signal Strength Medium Access Control Protocol Rayleigh Fading Channel Medium Access Control Layer 
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This work was supported by the Steinbuch Centre for Computing (SCC) that is part of the Karlsruhe Institute of Technology (KIT).


  1. 1.
    P. Andelfinger, J. Mittag, and H. Hartenstein. GPU-Based Architectures and Their Benefit for Accurate and Efficient Wireless Network Simulations. In Modeling, Analysis Simulation of Computer and Telecommunication Systems (MASCOTS), 2011 IEEE 19th International Symposium on, pages 421 –424, July 2011.Google Scholar
  2. 2.
    T. Gaugel, L. Reichardt, J. Mittag, T. Zwick, and H. Hartenstein. Accurate Simulation of Wireless Vehicular Networks Based on Ray Tracing and Physical Layer Simulation. In W. E. Nagel, D. B. Kröner, and M. M. Resch, editors, High Performance Computing in Science and Engineering ‘11, pages 619–630. Springer, January 2012.Google Scholar
  3. 3.
    J. Kunisch and J. Pamp. Wideband Car-to-Car Radio Channel Measurements and Model at 5.9 GHz. In Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th, pages 1–5. IEEE, September 2008.Google Scholar
  4. 4.
    J. Mittag. Characterization, Avoidance and Repair of Packet Collisions in Inter-Vehicle Communication Networks: The Complete Set of Results, February 2012.
  5. 5.
    J. Mittag, S. Papanastasiou, H. Hartenstein, and E. Ström. Enabling Accurate Cross-Layer PHY/MAC/NET Simulation Studies of Vehicular Communication Networks. Proceedings of the IEEE, 99(7):1311–1326, July 2011.CrossRefGoogle Scholar
  6. 6.
    The NS-3 Network Simulator.

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Decentralized Systems and Network ServicesInstitute of Telematics, Steinbuch Centre for Computing (SCC), Karlsruhe Institute of Technology (KIT)KarlsruheGermany

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