IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v33y2017i4d10.1007_s10878-016-0034-8.html
   My bibliography  Save this article

Optimal RSUs placement with delay bounded message dissemination in vehicular networks

Author

Listed:
  • Chunyan Liu

    (Harbin Institute of Technology Shenzhen Graduate School)

  • Hejiao Huang

    (Harbin Institute of Technology Shenzhen Graduate School
    Shenzhen Key Laboratory of Internet Information Collaboration)

  • Hongwei Du

    (Harbin Institute of Technology Shenzhen Graduate School)

  • Xiaohua Jia

    (Harbin Institute of Technology Shenzhen Graduate School)

Abstract

In order to transfer emergency messages from the accident site to the control center as soon as possible, the Roadside Units (RSUs) act as the most important roles in vehicular ad hoc networks (VANETs). However, we always hope to deploy the minimum number of RSUs because of the low market penetration of VANET-enabled vehicles and the deployment cost of RSUs. This paper presents a transmission delay analysis in urban areas with IID vehicles, and then reveal the relationship between the transmission time and message dissemination distance. According to the analysis, the optimal RSUs deployment problem is formulated. We propose three heuristic greedy strategies as code methods of genetic algorithms to solve the optimal RSUs placement problem with delay bound. Simulation results show that the solutions are efficient and the time complexity is lower than those existing algorithms.

Suggested Citation

  • Chunyan Liu & Hejiao Huang & Hongwei Du & Xiaohua Jia, 2017. "Optimal RSUs placement with delay bounded message dissemination in vehicular networks," Journal of Combinatorial Optimization, Springer, vol. 33(4), pages 1276-1299, May.
  • Handle: RePEc:spr:jcomop:v:33:y:2017:i:4:d:10.1007_s10878-016-0034-8
    DOI: 10.1007/s10878-016-0034-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-016-0034-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10878-016-0034-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grossman, Tal & Wool, Avishai, 1997. "Computational experience with approximation algorithms for the set covering problem," European Journal of Operational Research, Elsevier, vol. 101(1), pages 81-92, August.
    2. Sven de Vries & Rakesh V. Vohra, 2003. "Combinatorial Auctions: A Survey," INFORMS Journal on Computing, INFORMS, vol. 15(3), pages 284-309, August.
    3. Beasley, J. E., 1987. "An algorithm for set covering problem," European Journal of Operational Research, Elsevier, vol. 31(1), pages 85-93, July.
    4. Beasley, J. E. & Chu, P. C., 1996. "A genetic algorithm for the set covering problem," European Journal of Operational Research, Elsevier, vol. 94(2), pages 392-404, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Hu & Fang Pan & Lei Wang, 2019. "A scheduling algorithm for medical emergency rescue aircraft trajectory based on hybrid estimation and intent inference," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 40-61, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Yiyuan & Pan, Shiwei & Al-Shihabi, Sameh & Zhou, Junping & Yang, Nan & Yin, Minghao, 2021. "An improved configuration checking-based algorithm for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 294(2), pages 476-491.
    2. Nguyen, Tri-Dung, 2014. "A fast approximation algorithm for solving the complete set packing problem," European Journal of Operational Research, Elsevier, vol. 237(1), pages 62-70.
    3. Lan, Guanghui & DePuy, Gail W. & Whitehouse, Gary E., 2007. "An effective and simple heuristic for the set covering problem," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1387-1403, February.
    4. Gao, Chao & Yao, Xin & Weise, Thomas & Li, Jinlong, 2015. "An efficient local search heuristic with row weighting for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 246(3), pages 750-761.
    5. Helena R. Lourenço & José P. Paixão & Rita Portugal, 2001. "Multiobjective Metaheuristics for the Bus Driver Scheduling Problem," Transportation Science, INFORMS, vol. 35(3), pages 331-343, August.
    6. Patrizia Beraldi & Andrzej Ruszczyński, 2002. "The Probabilistic Set-Covering Problem," Operations Research, INFORMS, vol. 50(6), pages 956-967, December.
    7. Grossman, Tal & Wool, Avishai, 1997. "Computational experience with approximation algorithms for the set covering problem," European Journal of Operational Research, Elsevier, vol. 101(1), pages 81-92, August.
    8. Cochran, Jeffery K. & Marquez Uribe, Alberto, 2005. "A set covering formulation for agile capacity planning within supply chains," International Journal of Production Economics, Elsevier, vol. 95(2), pages 139-149, February.
    9. Victor Reyes & Ignacio Araya, 2021. "A GRASP-based scheme for the set covering problem," Operational Research, Springer, vol. 21(4), pages 2391-2408, December.
    10. Helena Ramalhinho-Lourenço, 2001. "The crew-scheduling module in the GIST system," Economics Working Papers 547, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Bautista, Joaquín & Pereira, Jordi, 2006. "Modeling the problem of locating collection areas for urban waste management. An application to the metropolitan area of Barcelona," Omega, Elsevier, vol. 34(6), pages 617-629, December.
    12. Naji-Azimi, Zahra & Toth, Paolo & Galli, Laura, 2010. "An electromagnetism metaheuristic for the unicost set covering problem," European Journal of Operational Research, Elsevier, vol. 205(2), pages 290-300, September.
    13. Rudabeh Meskarian & Marion L Penn & Sarah Williams & Thomas Monks, 2017. "A facility location model for analysis of current and future demand for sexual health services," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-18, August.
    14. Ibrahim, Walid & El-Sayed, Hesham & El-Chouemie, Amr & Amer, Hoda, 2009. "An adaptive heuristic algorithm for VLSI test vectors selection," European Journal of Operational Research, Elsevier, vol. 199(3), pages 630-639, December.
    15. Alberto Caprara & Matteo Fischetti & Paolo Toth, 1999. "A Heuristic Method for the Set Covering Problem," Operations Research, INFORMS, vol. 47(5), pages 730-743, October.
    16. José García & Gino Astorga & Víctor Yepes, 2021. "An Analysis of a KNN Perturbation Operator: An Application to the Binarization of Continuous Metaheuristics," Mathematics, MDPI, vol. 9(3), pages 1-20, January.
    17. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.
    18. Mishra, Debasis & Parkes, David C., 2007. "Ascending price Vickrey auctions for general valuations," Journal of Economic Theory, Elsevier, vol. 132(1), pages 335-366, January.
    19. Gansterer, Margaretha & Hartl, Richard F. & Sörensen, Kenneth, 2020. "Pushing frontiers in auction-based transport collaborations," Omega, Elsevier, vol. 94(C).
    20. Rita Portugal & Helena Ramalhinho-Lourenço & José P. Paixao, 2006. "Driver scheduling problem modelling," Economics Working Papers 991, Department of Economics and Business, Universitat Pompeu Fabra.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcomop:v:33:y:2017:i:4:d:10.1007_s10878-016-0034-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.