Advertisement

Automatic Control and Computer Sciences

, Volume 52, Issue 6, pp 552–560 | Cite as

A Vehicular Opportunity Routing Protocol with Area Learning: Voal

  • Xiaohui WangEmail author
Article
  • 4 Downloads

Abstract

The mobility of nodes in a vehicular ad hoc network brings about the instability of network topology, which is not beneficial for effective and rapid information transmission. This study proposed a vehicular opportunity routing protocol with area learning (VOAL). Specifically, beacon control was adopted for alleviating the information transmission pressure caused by channel congestion. The statistics of network environment and topology distribution were acquired through beacon exchange, and the hot area was derived based on real-time network information for better information transmission. Finally, the simulations were performed using an open-source simulator opportunistic network environment for comparing VOAL with some classical routing algorithms. The simulation results revealed that VOAL showed enhanced performance.

Keywords:

area learning mobile ad hoc network (MANET) vehicular ad hoc network (VANET) 

REFERENCES

  1. 1.
    Chim, T.W., Yiu, S.M., Hui, L.C.K., et al., VSPN: VANET-based secure and privacy-preserving navigation, IEEE Trans. Comput., 2014, vol. 63, no. 2, pp. 510–524.MathSciNetCrossRefGoogle Scholar
  2. 2.
    Dawood, H.S. and Wang, Y., An efficient emergency message broadcasting scheme in vehicular ad hoc networks, Int. J. Distrib. Sensor Networks, 2013, Article 232916. http://dx.doi.org/10.1155/2013/232916Google Scholar
  3. 3.
    Ghafoor, K.Z., Lloret, J., Bakar, K.A., Sadiq, A.S., and Mussa, S.A.B., Beaconing approaches in vehicular ad hoc networks: A survey, Wireless Pers. Commun., 2013, vol. 73, no. 3, pp. 885–912.CrossRefGoogle Scholar
  4. 4.
    Song, H. and Lee, H.S., A survey on how to solve a decentralized congestion control problem for periodic beacon broadcast in vehicular safety communications, 15th International Conference on Advanced Communication Technology (ICACT), 2013, pp. 649–654.Google Scholar
  5. 5.
    Sommer, C., Tonguz, O.K., and Dressler, F., Traffic information systems: Efficient message dissemination via adaptive beaconing, IEEE Commun. Mag., 2011, vol. 49, no. 5, pp. 173–179.CrossRefGoogle Scholar
  6. 6.
    Ahmed, S.H., Bouk, S.H., and Kim, D., Adaptive beaconing schemes in VANETs: Hybrid approach, IEEE 2015 International Conference on Information Networking (ICOIN), 2015, pp. 340–345.Google Scholar
  7. 7.
    Paul, B., Ibrahim, M., Bikas, M., et al., Experimental analysis of AODV & DSR over TCP & CBR connections with varying speed and node density in VANET, arXiv preprint arXiv:1204.1206, 2012.Google Scholar
  8. 8.
    Paul, B. and Islam, M.J., Survey over VANET routing protocols for vehicle-to-vehicle communication, IOSR J. Comput. Eng., 2012, vol. 7, no. 5, pp. 1–9.CrossRefGoogle Scholar
  9. 9.
    Sommer, C., Tonguz, O.K., and Dressler, F., Adaptive beaconing for delay-sensitive and congestion-aware traffic information systems, IEEE 2010 Vehicular Networking Conference (VNC), 2010, pp. 1–8.Google Scholar
  10. 10.
    Abumansoor, O. and Boukerche, A., A secure cooperative approach for nonline-of-sight location verification in VANET, IEEE Trans. Veh. Technol., 2012, vol. 61, no. 1, pp. 275–285.CrossRefGoogle Scholar
  11. 11.
    Benslimane, A., Taleb, T., and Sivaraj, R., Dynamic clustering-based adaptive mobile gateway management in integrated VANET–3G Heterogeneous IEEE J. Wireless Networks, Sel. Areas Commun., 2011, vol. 29, no. 3, pp. 559–570.CrossRefGoogle Scholar
  12. 12.
    Chen, R., Jin, W.L., and Regan, A., Broadcasting safety information in vehicular networks: Issues and approaches, IEEE Network, 2010, vol. 24, no. 1, pp. 20–25.CrossRefGoogle Scholar
  13. 13.
    Wu, C., Ohzahata, S., and Kato, T., VANET broadcast protocol based on fuzzy logic and lightweight retransmission mechanism, IEICE Trans. Commun., 2012, vol. 95-b, no. 2, pp. 415–425.Google Scholar
  14. 14.
    Bitam, S., Mellouk, A., and Zeadally, S., VANET-cloud: A generic cloud computing model for vehicular Ad Hoc networks, IEEE Wireless Commun., 2015, vol. 22, no. 1, pp. 96–102.CrossRefGoogle Scholar
  15. 15.
    Hussain, R. and Oh, H., Cooperation-aware VANET clouds: Providing secure cloud services to vehicular Ad Hoc Networks, J. Inf. Process. Syst., 2014, vol. 10, no. 1, pp. 103–118.CrossRefGoogle Scholar
  16. 16.
    Mukunthan, A., Cooper, C., Safaei, F., et al., Studying the impact of the corner propagation model on VANET routing in urban environments, IEEE Vehicular Technology Conference, 2012, vol. 48, no. 2, pp. 1–5.Google Scholar

Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  1. 1.School of Management Science and Engineering, Shandong University of Finance and EconomicsJinanChina

Personalised recommendations