Enhance VEINS Simulator for Realistic Evaluation Scenarios

  • Mouna Karoui
  • Mohamed Kassab
  • Hasnaâ Aniss
  • Marion Berbineau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10222)


Intelligent transportation systems (ITS) witnessed a great progress through developing new communication applications based on cooperative approach. These applications need a crucial QoS (Quality Of Service) performance and effectiveness. High precision is an eligible condition for ITS safety applications because they are characterized by a real time transmission via cooperative system information. In this paper, we propose a multi-application module for VEINS simulator in order to realize a realistic and dynamic simulation model for performance evaluation of safety and non safety applications on multi-channel operations compared to the single channel operation. Then, we analyze performance of safety and non-safety messages dissemination model for the four EDCA class of the IEEE 1609.4 standard. Our simulations confirm QoS differentiation of IEEE 1609.4 standard and it shows influence of high traffic density on QoS performance.





This work was supported by the SCOOF@FR project.


  1. 1.
    ITS, T.C.: Intelligent transport systems (its); vehicular communications; basic set of applications; definitions. Technical report 102 638 V1.1.1, ETSI (2009)Google Scholar
  2. 2.
    IEEE: Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment 6: Wireless access in vehicular environments, pp. 1–51, July 2010Google Scholar
  3. 3.
    IEEE: Standard for wireless access in vehicular environments (wave) - multi-channel operation, pp. 1–206, March 2016Google Scholar
  4. 4.
    Zhou, P., Liu, Y., Wang, J., Deng, W., Oh, H.: Performance analysis of prioritized broadcast service in WAVE/IEEE 802.11p. Computer Networks (2016)Google Scholar
  5. 5.
    van Eenennaam, M., vande Venis, A., Karagiannis, G.: Impact of IEEE 1609.4 channel switching on the IEEE 802.11p beaconing performance. In: Wireless Days (WD), 2012 IFIP, pp. 1–8. IEEE (2012)Google Scholar
  6. 6.
    Chantaraskul, S., Chaitien, K., Nirapai, A., Tanwongvarl, C.: Safety communication based adaptive multi-channel assignment for vanets. In: Wireless Personal Communications, pp. 1–16 (2015)Google Scholar
  7. 7.
    Xiong, K., Chen, X., Rao, L., Liu, X., Yao, Y.: Solving the performance puzzle of DSRC multi-channel operations. In: 2015 IEEE International Conference on Communications (ICC), pp. 3843–3848. IEEE (2015)Google Scholar
  8. 8.
    Li, X., Hu, B.J., Chen, H., Andrieux, G., Wang, Y., Wei, Z.H.: An RSU-coordinated synchronous multi-channel MAC scheme for vehicular ad hoc networks. IEEE Access 3, 2794–2802 (2015)CrossRefGoogle Scholar
  9. 9.
    Lee, D., Ahmed, S.H., Kim, D., Copeland, J., Chang, Y.: An efficient SCH utilization scheme for IEEE 1609.4 multi-channel environments in vanets. In: 2016 IEEE International Conference on Communications (ICC), pp. 1–6. IEEE (2016)Google Scholar
  10. 10.
    Krajzewicz, D., Erdmann, J., Behrisch, M., Bieker, L.: Recent development and applications of sumo-simulation of urban mobility. Int. J. Adv. Syst. Meas. 5(3&4) (2012)Google Scholar
  11. 11.
    Kim, O.T.T., Nguyen, V., Hong, C.S.: Which network simulation tool is better for simulating vehicular ad-hoc network? Corea Ciencias de la Información Sociedad de la 41(2014), 930–932 (2014)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.University of Lille Nord de France, IFSTTAR, COSYSVilleneuve d’AscqFrance
  2. 2.Laboratoire NOCCSUniversity of SousseSousseTunisia
  3. 3.IFSTTAR, COSYS, LIVICVersaillesFrance

Personalised recommendations