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Planning Roadside Units for Information Dissemination in Urban VANET

  • Junyu Zhu
  • Chuanhe HuangEmail author
  • Xiying Fan
  • Bin Fu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9798)

Abstract

With the development of vehicular ad hoc network (VANET), data dissemination has been widely studied and its performance is expected to be greatly improved. Research on data dissemination generally focuses on how to utilize road infrastructures, such as roadside units (RSUs), to facilitate the dissemination. In this paper, we consider a VANET where a given number of RSUs are available for disseminating information in an urban area. We formulate the problem as to minimize the number of RSUs selected from the available RSUs to cover a specific region. The paper proposes a c-street model and a city model. Then we develop a greedy polynomial time covering algorithm under the c-street model and a polynomial time approximation scheme is proposed under the city model based on shifting strategy. By evaluating the proposed solution in realistic urban environment, our simple greedy algorithm is implemented and some simulation results are provided.

Keywords

VANET RSU Data dissemination Polynomial time Approximation 

Notes

Acknowledgements

The authors are very grateful to the anonymous reviewers for their helpful comments on an earlier version of this paper.

References

  1. 1.
    Chen, W., Guha, R.K., Kwon, T.J., Lee, J., Hsu, Y.Y.: A survey and challenges in routing and data dissemination in vehicular ad hoc networks. Wirel. Commun. Mobile Comput. 11(7), 787–795 (2011)CrossRefGoogle Scholar
  2. 2.
    Dubey, B.B., Chauhan, N., Pant, S.: Effect of position of fixed infrastructure on data dissemination in VANETs. IJRRCS 2(2), 482–486 (2011)Google Scholar
  3. 3.
    Yan, T., Zhang, W., Wang, G.: DOVE: data dissemination to a desired number ofreceivers in VANET. IEEE Trans. Veh. Technol. 63(4), 1903–1916 (2014)CrossRefGoogle Scholar
  4. 4.
    Hochbaum, D.S., Maass, W.: Approximation schemes for covering and packing problems in image processing and VLSI. J. ACM(JACM) 32(1), 130–136 (1985)MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    Cavalcante, E.S., Aquino, A.L., Pappa, G.L., Loureiro, A.A.: Roadside unit deployment for information dissemination in a VANET: An evolutionary approach. In: Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation, pp. 27–34. ACM (2012)Google Scholar
  6. 6.
    Liang, Y., Liu, H., Rajan, D.: Optimal placement and configuration of roadside units in vehicular networks. In: Vehicular Technology Conference (VTC Spring), pp. 1–6, Yokohama (2012)Google Scholar
  7. 7.
    Lee, J.: Design of a network coverage analyzer for roadside-to-vehicle telematics networks. In: Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, vol. 13(12), pp. 201–205 (2008)Google Scholar
  8. 8.
    Ghaffarian, H., Soryani, M., Fathy, M.: Planning VANET infrastructures to improve safety awareness in curved roads. J. Zhejiang Univ. Sci. C 13(12), 918–928 (2012)CrossRefGoogle Scholar
  9. 9.
    Akabane, A.T., Villas, L.A., Madeira, M., Roberto, E.: An adaptive solution for data dissemination under diverse road traffic conditions in urban scenarios. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 1654–1659, New Orleans (2015)Google Scholar
  10. 10.
    Yan, T., Zhang, W., Wang, G., Zhang, Y.: Access points planning in urban area for data dissemination to drivers. IEEE Trans. Veh. Technol. 63(1), 390–402 (2014)CrossRefGoogle Scholar
  11. 11.
    Mukherjee, J.C., Gupta, A., Sreenivas, R.C.: Event Notification in VANET With Capacitated Roadside Units. IEEE Trans. Intell. Transp. Syst. pp(99), 1–13 (2016)Google Scholar
  12. 12.
    Karp, R.M.: Reducibility among combinatorial problems. In: Miller, R.E., Thatcher, J.W., Bohlinger, J.D. (eds.) Complexity of Computer Computations, pp. 85–103. Springer, US (1972)CrossRefGoogle Scholar
  13. 13.
    Trullols, O., Fiore, M., Casetti, C., Chiasserini, C.F., Ordinas, J.B.: Planning roadside infrastructure for information dissemination in intelligent transportation systems. Comput. Commun. 33(4), 432–442 (2010)CrossRefGoogle Scholar
  14. 14.
    Zhu, Y., Bao, Y., Li, B.: On maximizing delay-constrained coverage of urban vehicular networks. IEEE Sel. Areas Commun. 30(4), 804–817 (2012)CrossRefGoogle Scholar
  15. 15.
    Yoon, Y., Kim, Y.H.: An efficient genetic algorithm for maximum coverage deployment in wireless sensor networks. IEEE Trans. Cybern. 43(5), 1473–1483 (2013)MathSciNetCrossRefGoogle Scholar
  16. 16.
    Lin, Y., Rubin, I.: Throughput maximization under guaranteed dissemination coverage for VANET systems. In: Information Theory and Applications Workshop (ITA), pp. 313–318 (2015)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Junyu Zhu
    • 1
    • 2
  • Chuanhe Huang
    • 1
    • 2
    Email author
  • Xiying Fan
    • 1
    • 2
  • Bin Fu
    • 3
  1. 1.State Key Lab of Software Engineering, Computer SchoolWuhan UniversityWuhanChina
  2. 2.Collaborative Innovation Center of Geospatial TechnologyWuhan UniversityWuhanChina
  3. 3.Department of Computer ScienceThe University of Texas Rio Grande ValleyEdinburgUSA

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