A Roadside Unit Placement Scheme for Vehicular Ad-hoc Networks

  • Seif Ben ChaabeneEmail author
  • Taoufik Yeferny
  • Sadok Ben Yahia
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)


Road Side Units (RSUs) have a crucial role in maintaining Vehicular Ad-hoc Networks (VANETs) connectivity and coverage, especially, for applications gathering or disseminating non-safety information. In big cities with complex road network topology, huge number of costly RSUs must be deployed to collect data gathered by all moving vehicles. In this respect, several research works focusing on RSUs deployment, the so called coverage problem, have been proposed. The thriving challenge would be to (i) minimize as possible the number of used RSUs, which leads to reduce the deployment cost; and (ii) to maximize the coverage ratio. In this paper, we introduce a new spatio-temporal coverage scheme consisting of two main components, namely “mobility patterns mining” and “coverage computing”. The first one computes a sequential mobility patterns set of moving vehicles by mining their trajectories. whereas the second computes a minimal set of junctions, where RSUs have to be ideally placed. The performed thorough experiments show that our scheme outperforms its competitors in terms of cost as well as coverage ratio.


  1. 1.
    Allani, S., Yeferny, T., Chbeir, R.: A scalable data dissemination protocol based on vehicles trajectories analysis. Ad Hoc Netw. 71, 31–44 (2018)CrossRefGoogle Scholar
  2. 2.
    Allani, S., Yeferny, T., Chbeir, R., Yahia, S.B.: DPMS: a swift data dissemination protocol based on map splitting. In: Computer Software and Applications Conference, COMPSAC, vol. 1, pp. 817–822 (2016)Google Scholar
  3. 3.
    Allani, S., Yeferny, T., Chbeir, R., Yahia, S.B.: A novel VANET data dissemination approach based on geospatial data. Proc. Comput. Sci. 98, 572–577 (2016)CrossRefGoogle Scholar
  4. 4.
    Arour, K., Yeferny, T.: Learning model for efficient query routing in P2P information retrieval systems. Peer-to-Peer Netw. Appl. 8(5), 741–757 (2015)CrossRefGoogle Scholar
  5. 5.
    Bellomo, N., Delitala, M., Coscia, V.: On the mathematical theory of vehicular traffic flow I: fluid dynamic and kinetic modelling. Math. Models Methods Appl. Sci. 12(12), 1801–1843 (2002)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Boukenadil, B.: Importance of realistic mobility models for VANET network simulation. CoRR abs/1410.2450 (2014)Google Scholar
  7. 7.
    Kafsi, M., Papadimitratos, P., Dousse, O., Alpcan, T., Hubaux, J.: VANET connectivity analysis. CoRR abs/0912.5527 (2009)Google Scholar
  8. 8.
    Kaisser, F., Gransart, C., Berbineau, M.: Simulations of VANET scenarios with OPNET and SUMO. In: Proceedings of the Communication Technologies for Vehicles - 4th International Workshop, Nets4Cars/Nets4Trains 2012, Vilnius, Lithuania, 25–27 April 2012, pp. 103–112 (2012)Google Scholar
  9. 9.
    Kaur, R., Kaur, R.: Scalable TDB based RSUs deployment in VANETs. Int. J. Innov. Appl. Stud. 3(4), 1025–1032 (2013)Google Scholar
  10. 10.
    Kchiche, A., Kamoun, F.: Traffic-aware access-points deployment strategies for VANETs. In: 6th International ICST Conference, pp. 15–26 (2014)Google Scholar
  11. 11.
    Lee, J., Kim, C.: A roadside unit placement scheme for vehicular telematics networks. In: Advances in Computer Science and Information Technology, pp. 196–202 (2010)Google Scholar
  12. 12.
    Murakami, K., Uno, T.: Efficient algorithms for dualizing large-scale hypergraphs. CoRR abs/1102.3813 (2011)Google Scholar
  13. 13.
    Murakami, K., Uno, T.: Efficient algorithms for dualizing large-scale hypergraphs. Discrete Appl. Math. 170, 83–94 (2014)MathSciNetCrossRefGoogle Scholar
  14. 14.
    Pei, J., Han, J., Mortazavi-Asl, B., Wang, J., Pinto, H., Chen, Q., Dayal, U., Hsu, M.C.: Mining sequential patterns by pattern-growth: the PrefixSpan approach. IEEE Trans. Knowl. Data Eng. 16(11), 1424–1440 (2004)CrossRefGoogle Scholar
  15. 15.
    Singh, S., Agrawal, S.: VANET routing protocols: issues and challenges. In: Proceedings of 2014 RACES UIET Panjab University, Chandigarh. 17th IEEE International Symposium on A World of Wireless, Mobile and Multimedia Networks (2014)Google Scholar
  16. 16.
    Sun, Y., Lin, X., Lu, R., Shen, X., Su, J.: Roadside units deployment for efficient short-time certificate updating in VANETs. In: Proceedings of IEEE International Conference on Communications, pp. 1–5 (2010)Google Scholar
  17. 17.
    Trullols-Cruces, Ó., Fiore, M., Barceló-Ordinas, J.M.: Cooperative download in vehicular environments. IEEE Trans. Mob. Comput. 11(4), 663–678 (2012)CrossRefGoogle Scholar
  18. 18.
    Wu, H., Fujimoto, R.M., Riley, G.F., Hunter, M.: Spatial propagation of information in vehicular networks. IEEE Trans. Veh. Technol. 58(1), 420–431 (2009)CrossRefGoogle Scholar
  19. 19.
    Xiong, Y., Ma, J., Wang, W., Tu, D.: RoadGate: mobility-centric roadside units deployment for vehicular networks. IJDSN 9 (2013)Google Scholar
  20. 20.
    Ye, W., Jang, S., Lee, J., Lee, K.: MDTMAC: a medium access control protocol for multimedia data transmission service over IEEE 802.11 wireless LAN. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 144–150 (1999)Google Scholar
  21. 21.
    Yeferny, T., Allani, S.: MPC: a RSUs deployment strategy for VANET. Int. J. Commun. Syst. 31(12) (2018)Google Scholar
  22. 22.
    Yeferny, T., Arour, K.: Efficient routing method in P2P systems based upon training knowledge. In: Advanced Information Networking and Applications Workshops, WAINA, pp. 300–305 (2012)Google Scholar
  23. 23.
    Yeferny, T., Arour, K., Bouzeghoub, A.: An efficient peer-to-peer semantic overlay network for learning query routing. In: Advanced Information Networking and Applications, AINA, pp. 1025–1032 (2013)Google Scholar
  24. 24.
    Zhu, Y., Bao, Y., Li, B.: On maximizing delay-constrained coverage of urban vehicular networks. IEEE J. Sel. Areas Commun. 30(4), 804–817 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Seif Ben Chaabene
    • 1
    Email author
  • Taoufik Yeferny
    • 1
    • 2
  • Sadok Ben Yahia
    • 3
  1. 1.Faculty of Sciences of Tunis, LIPAH-LR11ES14University of Tunis El ManarTunisTunisia
  2. 2.College of ScienceNorthern Border UniversityArarKingdom of Saudi Arabia
  3. 3.Department of Software ScienceTallinn University of TechnologyTallinnEstonia

Personalised recommendations