Skip to main content
SpringerLink
Log in

A Dual Ring Connectivity Model for VANET Under Heterogeneous Traffic Flow

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Vehicular ad-hoc network (VANET) is characterized as a highly dynamic wireless network due to the dynamic connectivity of the network nodes. To achieve better connectivity under such dynamic conditions, an optimal transmission strategy is required to direct the information flow between the nodes. Earlier studies on VANET’s overlook the characteristics of heterogeneity in vehicle types, traffic structure, flow for density estimation, and connectivity observation. In this paper, we have proposed a heterogeneous traffic flow based dual ring connectivity model to enhance both the message disseminations and network connectivity. In our proposed model the availability of different types of vehicles on the road, such as, cars, buses, etc., are introduced in an attempt to propose a new communication structure for moving vehicles in VANETl under cooperative transmission in heterogeneous traffic flow. The model is based on the dual-ring structure that forms the primary and secondary rings of vehicular communication. During message disseminations, Slow speed vehicles (buses) on the secondary ring provide a backup path of communication for high speed vehicles (cars) moving on the primary ring. The Slow speed vehicles act as the intermediate nodes in the aforementioned connectivity model that helps improve the network coverage and end-to-end data delivery. For the evaluation and the implementation of dual-ring model a clustering routing scheme warning energy aware cluster-head is adopted that also caters for the energy optimization. The implemented dual-ring message delivery scheme under the cluster-head based routing technique does show improved network coverage and connectivity dynamics even under the multi-hop communication system.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Zeadally, S., Hunt, R., Chen, Y.-S., Irwin, A., & Hassan, A. (2012). Vehicular ad hoc networks (vanets): Status, results, and challenges. Telecommunication Systems, 50(4), 217–241.

    Article  Google Scholar 

  2. Sivasakthi, M., & Suresh, R. (2013). Research on vehicular ad hoc networks (vanets): An overview. International Journal of Applied Science and Engineering Research, 2(1), 23–27.

    Article  Google Scholar 

  3. Al-Sultan, S., Al-Doori, M. M., Al-Bayatti, A. H., & Zedan, H. (2014). A comprehensive survey on vehicular ad hoc network. Journal of Network and Computer Applications, 37, 380–392.

    Article  Google Scholar 

  4. Manual, Highway Capacity (2010). HCM2010. Washington, DC: Transportation Research Board, National Research Council.

  5. Elefteriadou, L. (2014). An introduction to traffic flow theory (Vol. 84). New York, NY: Springer.

    MATH  Google Scholar 

  6. Bektache, D., Tolba, C., & Ghoualmi-Zine, N. (2014). Forecasting approach in vanet based on vehicle kinematics for road safety. International Journal of Vehicle Safety, 7(2), 147–167.

    Article  Google Scholar 

  7. Shao, C., Leng, S., Zhang, Y., Vinel, A., & Jonsson, M. (Aug 2014). Analysis of connectivity probability in platoon-based vehicular ad hoc networks. In International wireless communications and mobile computing conference (IWCMC), pp. 706–711.

  8. Meneguette, R. I., Maia, G., Madeira, E. R. M., Loureiro, A. A. F., & Villas L. A. (June 2014). Autonomic data dissemination in highway vehicular ad hoc networks with diverse traffic conditions. In IEEE Symposium on Computers and Communication (ISCC), pp. 1–6.

  9. Artimy, M. M., Robertson, W., & Phillips, W. J. (2005). Assignment of dynamic transmission range based on estimation of vehicle density. In Proceedings of the 2nd ACM international workshop on vehicular ad hoc networks, VANET ’05. New York, NY: ACM, pp. 40–48.

  10. Panichpapiboon, S. & Pattara-Atikom, W. (Oct 2008). Evaluation of a neighbor-based vehicle density estimation scheme. In 8th International conference on ITS telecommunications, ITST 2008, pp. 294–298.

  11. Allouche, Y., & Segal, M. (2013). Vehicle proximty map formation in VANET. In Microwaves, Communications, Antennas and Electronics Systems (COMCAS), 2013: IEEE International Conference on, IEEE, (pp. 1–5).

  12. Haas, O., Kamran, S., Jaworski, P., & Gheorghe, I. (2013). Urban traffic simulators for intelligent transportation systems. Measurement and Control, 46, 309–314.

    Article  Google Scholar 

  13. Khabazian, M., & Ali, M. K. M. (2008). A performance modeling of connectivity in vehicular ad hoc networks. IEEE Transactions on Vehicular Technology, 57(4), 2440–2450.

    Article  Google Scholar 

  14. Yousefi, S., Altman, E., El-Azouzi, R., & Fathy, M. (2008). Analytical model for connectivity in vehicular ad hoc networks. IEEE Transactions on Vehicular Technology, 57(6), 3341–3356.

    Article  Google Scholar 

  15. Abdrabou, A., & Zhuang, W. (2011). Probabilistic delay control and road side unit placement for vehicular ad hoc networks with disrupted connectivity. IEEE Journal on Selected Areas in Communications, 29(1), 129–139.

    Article  Google Scholar 

  16. Khabazian, M., Assa, S., & Ali, M. K. M. (2011). Performance modeling of message dissemination in vehicular ad hoc networks with priority. IEEE Journal on Selected Areas in Communications, 29(1), 61–71.

    Article  Google Scholar 

  17. Yang, Y., Mi, Z., Yang, J. Y., & Liu, G. (2010). A model based connectivity improvement strategy for vehicular ad hoc networks. In Vehicular technology conference fall (VTC fall), IEEE, pp. 1–5.

  18. Ho, I. W.-H., Leung, K. K., & Polak, J. W. (2011). Stochastic model and connectivity dynamics for vanets in signalized road systems. IEEE/ACM Transactions on Networking, 19(1), 195–208.

    Article  Google Scholar 

  19. IEEE 802.11 Working Group. (July 2010). IEEE standard for information technology—Telecommunications and information exchange between systems—Local and metropolitan area networks—Specific requirements—Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment 6: Wireless access in vehicular environments.

  20. Bettstetter, C. (2002). On the minimum node degree and connectivity of a wireless multihop network. In Proceedings of the 3rd ACM international symposium on mobile ad hoc networking & computing, MobiHoc ’02. New York, NY: ACM, pp. 80–91.

  21. Bettstetter, C. (2004). On the connectivity of ad hoc networks. The Computer Journal, 47(4), 432–447.

    Article  Google Scholar 

  22. Luo, Y., Zhang, W., & Hu, Y. (April 2010). A new cluster based routing protocol for vanet. In 2010 Second international conference on networks security wireless communications and trusted computing (NSWCTC), Vol. 1, pp. 176–180.

  23. Dubey, B. B., Chauhan, N., & Pant, S. (2011). Effect of position of fixed infrastructure on data dissemination in vanets. International Journal of Research & Reviews in Computer Science, 2(2), 482.

    Google Scholar 

  24. Sahoo, P. K., Chiang, M.-J., & Wu, S.-L. (2011). Connectivity modeling of vehicular ad hoc networks in signalized city roads. In Sheu, J.-P. & Wang, C.-L. (Eds.), International conference on parallel processing (ICPP) workshops, IEEE, pp.22–26.

  25. Chen, C., Du, X., Pei, Q., & Jin, Y. (August 2013). Connectivity analysis for free-flow traffic in vanets: A statistical approach. International Journal of Distributed Sensor Networks, Article ID: 598946.

  26. Li, X., & Li, H. (2014). A survey on data dissemination in VANETs. Chinese Science Bulletin, 59(32), 4190–4200.

  27. Lo, S.-C. & Lin, S.-J. (Feb 2014). Collaborative data transmission in vehicular ad-hoc networks. In 2014 International conference on information networking (ICOIN), pp. 18–22.

  28. Umer, T., Ding, Z., Honary, B., & Ahmad, H. (2010) . Implementation of microscopic parameters for density estimation of heterogeneous traffic flow for VANET. In 7th international symposium on communication systems networks and digital signal processing (CSNDSP), IEEE, pp. 66–70.

  29. Sheltami, T. & Mouftah, H. T. (2003). An efficient energy aware clusterhead formation infrastructure protocol for manets. In IEEE international symposium on computers and communications (ISCC), IEEE Computer Society, pp. 203–208.

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, Pakistan

    Tariq Umer, Muhammad Khalil Afzal & Ehsan Ullah Munir

  2. Instituto de Telecomunicaes, Aveiro, Portugal

    Muhammad Alam

Authors
  1. Tariq Umer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Muhammad Khalil Afzal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ehsan Ullah Munir
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Muhammad Alam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tariq Umer.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Umer, T., Afzal, M.K., Munir, E.U. et al. A Dual Ring Connectivity Model for VANET Under Heterogeneous Traffic Flow. Wireless Pers Commun 98, 105–118 (2018). https://doi.org/10.1007/s11277-017-4858-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4858-z

Keywords

Search

Navigation