[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content

Advertisement

Springer Nature Link
Log in

Joint Congestion Control Strategy During V2V Communication Among Authentic Vehicles in VANET

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The wireless access in vehicular environment system is developed for enhancing the driving safety and comfort of automotive users. However, such system suffers from quality of service degradation for safety applications caused by the channel congestion in scenarios with high vehicle density. In the present work channel congestion is controlled jointly by road side unit, and vehicle. The present work supports vehicle to vehicle communication of authentic safe messages among authentic vehicles only. The road side unit reduces channel congestion by allowing only the authentic vehicles to participate in vehicle to vehicle communication, and by discarding unauthentic messages from the network. It revokes vehicles which are not authentic, and vehicles which are communicating unauthentic messages. Each vehicle also participates in the reduction of channel congestion by varying the size of beacon message dynamically, by removing the duplicate messages from message queue, and also by controlling the transmission power, and transmission range of a message during transmission. It further reduces the channel congestion by controlling the message generation rate using message generation rate control algorithm. Two different message generation rate control algorithm are proposed in the present work. In the first approach it maintains the channel load to an estimated initial value whereas the second approach increases the channel load till the percentage of message loss lies below a predefined threshold. The performance of the proposed scheme is studied on the basis of percentage of successful message reception, and percentage of message loss. The performance of the two message generation rate control algorithms are also compared in the present work.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Wischhof, L., & Rohling, H. (2005). Congestion control in vehicular ad hoc networks. In IEEE International conference on vehicular electronics and safety, Germany, pp. 58–63.

  2. Zang, Y., Stibor, L., Cheng, X., Reumerman, H.-J., Paruzel, A., & Barroso, A. (2007). Congestion control in wireless networks for vehicular safety applications. 8th European wireless conference, p. 7. Paris, France.

  3. Bouassida, M. S., & Shawky, M. (2008). On the congestion control within VANET. Wireless days, WD ’08 1st IFIP digital object identifier, (pp. 1–5). doi:10.1109/WD.2008.4812915.

  4. Zhang, W., Festag, A., Baldessari, R., & Le, L. (2008). Congestion control for safety messages in VANETs: Concepts and framework. Proceedings 8th conference on ITS telecommunications, pp. 199–203.

  5. Campolo, C., Cortese, A., & Molinaro, A. (2009). CRaSCH: A cooperative scheme for service channel reservation in 802.11p/WAVE vehicular ad hoc networks. Proceedings of international conference on ultra modern telecommunications and workshops, pp. 1–8.

  6. Bouassida, M. S., & Showky, M. (2010). A cooperative congestion control approach within VANETs: Formal verification and performance evaluation. Hindawi Publishing Corporation, Eurasip Journal on Wireless Communications and Networking, pp. 1–26, article no. 11.

  7. He, J., Chen, H.-H., Chen, T. M., & Cheng, W. (2010). Adaptive congestion control for DSRC vehicle networks. IEEE Communication Letters, 14(2), 127–129.

    Article  Google Scholar 

  8. Darus, M. Y. B., & Bakar, K. A. (2011). Congestion control framework for disseminating safety messages in vehicular ad-hoc networks. International Journal of Digital Content Technology and its Applications, 5(2).

  9. Humeng, L., Xuemei, Y., Li, A., & Yuan, W. (2012). Distributed beacon frequency control algorithm for VANETs (DBFC). International conference on intelligent systems design and engineering application, pp. 243–246.

  10. Darus, M. Y., & Bakar, K. A. (2013). Formal verification of congestion control algorithm in VANETs. International Journal of Computer Network and Information Security, 4, 1–7.

    Article  Google Scholar 

  11. Darus, M. Y., & Bakar, K. A. (2013). Congestion control algorithm in VANETs. World Applied Sciences Journal, 21(7), 1057–1061.

    Google Scholar 

  12. Mondal, A., & Mitra, S. (2012). Identification, authentication and tracking algorithm for vehicles using VIN in centralized VANET. International conference on advances in communication, network, and computing, LNICST 108, pp. 115–120.

  13. Artimy, M. M. (2007). Assignment of dynamic transmission range based on estimation of vehicle density. In IEEE Transactions on Intelligent Transportation Systems, 8(3), 400–412.

  14. Rawat, D. B. (2011). Enhancing VANET performance by joint adaptation of transmission power and contention window size. In IEEE Transaction on Parallel and Distributed Systems, 22(9), 1528–1535.

  15. Batsuuri, T., Bril, R. J., & Lukkien, J. (2010). Application level phase adjustment for maximizing the fairness in VANET. IEEE 7th international conference on mobile adhoc and sensor systems, MASS 2010, 8–12 November 2010.

  16. Konur, S., & Fisher, M. (2011) Formal analysis of a VANET congestion control protocol through probabilistic verification. Proceedings of 73rd IEEE vehicular technology conference, Budapest, Hungary.

  17. Towards Effective Vehicle Identification. (2004). The NMVTRC’s strategic framework for improving the identification of vehicles and components.

  18. http://en.wikipedia.org/wiki/Intelligent_driver_model

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, India

    Sulata Mitra

  2. Department of Computer Science and Engineering, Camellia Institute of Technology, Kolkata, India

    Atanu Mondal

Authors
  1. Sulata Mitra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Atanu Mondal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sulata Mitra.

Appendix

Appendix

Table 5 For N = 120
Full size table
Table 6 N = 150
Full size table
Table 7 For N = 180
Full size table

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mitra, S., Mondal, A. Joint Congestion Control Strategy During V2V Communication Among Authentic Vehicles in VANET. Wireless Pers Commun 79, 43–67 (2014). https://doi.org/10.1007/s11277-014-1840-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-1840-x

Keywords