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Impact of the radio channel modelling on the performance of VANET communication protocols

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Abstract

The expected traffic safety and efficiency benefits that can be achieved through the development and deployment of vehicular ad-hoc networks has attracted a significant interest from the networking research community that is currently working on novel vehicular communication protocols. The time-critical nature of vehicular applications and their reliability constraints require a careful protocol design and dimensioning. To this aim, adequate and accurate models should be employed in any research study. One of the critical aspects of any wireless communications system is the radio channel propagation. This is particularly the case in vehicular networks due to their low antenna heights, the fast topology changes and the reliability and latency constraints of traffic safety applications. Despite the research efforts to model the vehicle-to-vehicle communications channel, many networking studies are currently simplifying and even neglecting the radio channel effects on the performance and operation of their protocols. As this work demonstrates, it is critical that realistic and accurate channel models are employed to adequately understand, design and optimize novel vehicular communications and networking protocols.

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References

  1. IEEE P802.11p/D4.0. (2008). Draft part 11: WLAN MAC and PHY specifications: wireless access in vehicular environments (WAVE). IEEE Standards Association, March 2008.

  2. European Telecommunications Standards Institute TC ITS. (2009). Intelligent transport systems (ITS); communications; architecture. Draft ETSI TS 102 665 V0.0.9, March 2009.

  3. Sommer, C., & Dressler, F. (2008). Progressing toward realistic mobility models in VANET simulations. IEEE Communications Magazine, 46(11), 132–137.

    Article  Google Scholar 

  4. Wang, Y., Ahmed, A., Krishnamachari, B., & Psounis, K. (2008). IEEE 802.11p performance evaluation and protocol enhancement. In Proceedings of IEEE international conference on vehicular electronics and safety ICVES (pp. 317–322), Ohio, USA, September 2008.

    Google Scholar 

  5. Gallardo, J. R., Makrakis, D., & Mouftah, H. T. (2005). Performance analysis of the EDCA medium access mechanism over the control channel of an IEEE 802.11p WAVE vehicular network. In Proceedings of IEEE international conference on communications ICC (pp. 1–6), Dresden, Germany, 14–18 June 2009.

    Google Scholar 

  6. Wang, W., Xie, F., & Chatterjee, M. (2009). Small-scale and large-scale routing in vehicular ad hoc networks. IEEE Transactions on Vehicular Technology, 58(9), 5200–5213.

    Article  Google Scholar 

  7. Tee, C. A. T. H., & Lee, A. (2009). Adaptive reactive routing for VANET in city environments. In Proceedings international symposium on pervasive systems, algorithms, and networks ISPAN (pp. 610–614), Kaoshiung, Taiwan, 14–16 December 2009.

    Chapter  Google Scholar 

  8. Stibor, L., Zang, Y., & Reumerman, H.-J. (2007). Neighborhood evaluation of vehicular ad-hoc network using IEEE 802.11p. In Proceedings of European wireless conference EW, Paris, France, April 2007.

    Google Scholar 

  9. Monserrat, J., Gozalvez, J., Fraile, R., & Cardona, N. (2005). Effect of shadowing correlation modeling on the system level performance of adaptive radio resource management techniques. In Proceedings of IEEE international symposium on wireless communication systems ISWCS (pp. 460–464), Siena, Italy, September 2005.

    Chapter  Google Scholar 

  10. Gruber, I., & Hui, L. (2004). Behavior of ad hoc routing protocols in metropolitan environments. In Proceedings of IEEE vehicular technology conference VTC-Fall (pp. 3175–3180), Los Angeles, USA, September 2004.

    Chapter  Google Scholar 

  11. Cheng, L., Henty, B. E., Bai, F., & Stancil, D. D. (2008). Highway and rural propagation channel modelling for vehicle-to-vehicle communications at 5.9 GHz. In Proceedings of IEEE international symposium of antennas and propagation AP-S (pp. 1–4), San Diego, USA, July 2008.

    Google Scholar 

  12. Sen, I., & Matolak, D. W. (2008). Vehicle–vehicle channel models for the 5-GHz band. IEEE Transactions on Intelligent Transportation Systems 9(2), 235–245.

    Article  Google Scholar 

  13. Torrent-Moreno, M., Schmidt-Eisenlohr, F., Fussler, H., & Hartenstein, H. (2006). Effects of a realistic channel model on packet forwarding in vehicular ad hoc networks. In Proceedings of IEEE wireless communications and networking conference WCNC (pp. 385–391), Las Vegas, USA, April 2006.

    Chapter  Google Scholar 

  14. Torrent-Moreno, M., Corroy, S., Schmidt-Eisenlohr, F., & Hartenstein, H. (2006). IEEE 802.11-based one-hop broadcast communications: understanding transmission success and failure under different radio propagation environments. In Proceedings of ACM international symposium on modeling, analysis and simulation of wireless and mobile systems MSWIM (pp. 68–77), Malaga, Spain, October 2006.

    Chapter  Google Scholar 

  15. COMeSafety consortium. (2009). D31: European ITS communication architecture: overall framework proof of concept implementation. COMeSafety European Specific Support Action Public Deliverable, March 2009.

  16. Vehicle infrastructure integration consortium. (2009). Final report: vehicle infrastructure integration; proof of concept; technical description: vehicle. US Department of Transportation DTFH61-05-H-00003, May 2009.

  17. Tranter, W. H., Shanmugan, K. S., Rappaport, T. S., & Kosbar, K. L. (2003). Principles of communication systems simulation with wireless applications. New York: Prentice Hall.

    Google Scholar 

  18. Gozalvez, J., & Dunlop, J. (2004). Link level modelling techniques for analysing the configuration of link adaptation algorithms in mobile radio networks. In Proceedings of European wireless EW (pp. 325–330), Barcelona, Spain, February 2004.

    Google Scholar 

  19. Takai, M., Martin, J., & Bagrodia, R. (2001). Effects of wireless physical layer modelling in mobile ad hoc networks. In Proceedings of ACM international symposium on mobile ad hoc networking and computing MobiHoc (pp 87–94), California, USA, October 2001.

    Chapter  Google Scholar 

  20. Lazo, C., & Fernandez, M. (2007). QoS in vehicular and intelligent transport networks using multipath routing. In Proceedings of IEEE international symposium on industrial electronics ISIE (pp. 2556–2561), Vigo, Spain, June 2007.

    Google Scholar 

  21. Saito, M., Tsukamoto, J., Umedu, T., & Higashino, T. (2007). Design and evaluation of intervehicle dissemination protocol for propagation of preceding traffic information. IEEE Transactions on Intelligent Transportation Systems, 379–390.

  22. Alshaer, H., & Horlait, E. (2005). An optimized adaptive broadcast scheme for inter-vehicle communication. In Proceedings of IEEE vehicular technology conference VTC spring (pp. 2840–2844), Stockholm, Sweden, June 2005.

    Google Scholar 

  23. Ns2—The Network Simulator 2. Online: http://www.isi.edu/nsnam/ns/.

  24. Rappaport, T. (2001). Wireless communications: principles and practices. New York: Prentice Hall.

    Google Scholar 

  25. Naumov, V., & Gross, T. R. (2007). Connectivity-aware routing (CAR) in vehicular ad-hoc networks. In Proceedings of IEEE international conference on computer communications INFOCOM (pp. 1919–1927), Anchorage, AK, USA, May 2007.

    Chapter  Google Scholar 

  26. Baumann, R., Heimlicher, S., & May, M. (2007). Towards realistic mobility models for vehicular ad-hoc networks. In Proceedings of mobile networking for vehicular environments workshop MOVE (pp. 73–78), Anchorage, USA, May 2007.

    Chapter  Google Scholar 

  27. WINNER consortium. (2007). D1.1.2. WINNER II channel models. WINNER European Research project Public Deliverable, September 2007.

  28. Gudmundson, M. (1991). Correlation model for shadow fading in mobile radio systems. Electronic Letters, 27(23), 2145–2146.

    Article  Google Scholar 

  29. Sepulcre, M., & Gozalvez, J. (2009). Adaptive wireless vehicular communication techniques under correlated radio channels. In Proceedings of IEEE vehicular technology conference VTC spring (pp. 761–765), Barcelona, Spain, April 2009.

    Google Scholar 

  30. Zang, Y., Stibor, L., Orfanos, G., Guo, S., & Reumerman, H. J. (2005). An error model for inter-vehicle communications in high-way scenarios at 5.9 GHz. In Proceedings of international workshop on performance evaluation of wireless ad hoc, sensor, and ubiquitous networks PE-WASUN (pp. 49–56), Montreal, Canada, October 2005.

    Chapter  Google Scholar 

  31. Subramanian, R., & Lombardo, L. (2007). Analysis of fatal motor vehicle traffic crashes and fatalities at intersections, 1997 to 2004 (Technical Report). NHTSA’s National Center for Statistics and Analysis.

  32. Vehicle Safety Communications consortium. (2005). Vehicle safety communications project task 3—Final report: identify intelligent vehicle safety applications enabled by DSRC. DOT HS 809 859, March 2005.

  33. SUMO—Simulation of Urban Mobility. Online: http://sumo.sourceforge.net/.

  34. Füßler, H., Mauve, M., Hartenstein, H., Käsemann, M., & Vollmer, D. (2002). Location-based routing for vehicular ad-hoc networks. In Proceedings of ACM/IEEE international conference on mobile computing and networking mobi-com (pp. 47–49), Atlanta, USA, September 2002.

    Google Scholar 

  35. Karp, B., & Kung, H. (2000). Greedy perimeter stateless routing for wireless networks. In Proceedings of ACM/IEEE international conference on mobile computing and networking mobi-com (pp. 243–254), Boston, USA, August 2000.

    Google Scholar 

  36. Tian, J., Han, L., Rothermel, K., & Cseh, C. (2003). Spatially aware packet routing for mobile ad hoc inter-vehicle radio networks. In Proceedings of IEEE international conference on intelligent transportantion systems (pp. 1546–1551), Shangai, China, October 2003.

    Chapter  Google Scholar 

  37. Füßler, H., Widmer, J., Käsemann, M., Mauve, M., & Hartenstein, H. (2003). Contention-based forwarding for mobile ad-hoc networks. Elsevier’s Ad-Hoc Networks, 1(4), 351–369.

    Article  Google Scholar 

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Authors and Affiliations

  1. University Muguel Hernandez of Elche, Avda. Universidad s/n, 03202, Elche, Spain

    Javier Gozalvez, Miguel Sepulcre & Ramon Bauza

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  1. Javier Gozalvez
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  2. Miguel Sepulcre
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  3. Ramon Bauza
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Correspondence to Miguel Sepulcre.

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Gozalvez, J., Sepulcre, M. & Bauza, R. Impact of the radio channel modelling on the performance of VANET communication protocols. Telecommun Syst 50, 149–167 (2012). https://doi.org/10.1007/s11235-010-9396-x

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  • DOI: https://doi.org/10.1007/s11235-010-9396-x

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