IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v12y2020i3p47-d330123.html
   My bibliography  Save this article

Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks

Author

Listed:
  • Omuwa Oyakhire

    (Graduate School of Engineering and Science, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan)

  • Koichi Gyoda

    (Graduate School of Engineering and Science, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan)

Abstract

In mobile ad hoc networks, network nodes cooperate by packet forwarding from the source to the destination. As the networks become denser, more control packets are forwarded, thus consuming more bandwidth and may cause packet loss. Recently, game theory has been applied to address several problems in mobile ad hoc networks like energy efficiency. In this paper, we apply game theory to reduce the control packets in dense networks. We choose a proactive routing protocol, Optimized Link State Routing (OLSR) protocol. We consider two strategies in this method: willingness_always and willingness_never to reduce the multipoint relay (MPR) ratio in dense networks. Thus, nodes with less influence on other nodes are excluded from nomination as MPRs. Simulations were used to confirm the efficiency of using our improved method. The results show that the MPR ratio was significantly reduced, and packet delivery ratio was increased compared to the conventional protocol.

Suggested Citation

  • Omuwa Oyakhire & Koichi Gyoda, 2020. "Improved Proactive Routing Protocol Considering Node Density Using Game Theory in Dense Networks," Future Internet, MDPI, vol. 12(3), pages 1-12, March.
  • Handle: RePEc:gam:jftint:v:12:y:2020:i:3:p:47-:d:330123
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/12/3/47/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/12/3/47/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen Schecter & Herbert Gintis, 2016. "Game Theory in Action: An Introduction to Classical and Evolutionary Models," Economics Books, Princeton University Press, edition 1, number 10739.
    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. Sanusi Mohammad Bunu & Omar Younis Alani & Mohammad Saraee, 2024. "An Improved Routing Protocol for Optimum Quality of Service in Device-to-Device and Energy Efficiency in 5G/B5G," Future Internet, MDPI, vol. 16(9), pages 1-31, September.

    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. Ilko Vrankić & Tomislav Herceg & Mirjana Pejić Bach, 2021. "Dynamics and stability of evolutionary optimal strategies in duopoly," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 1001-1019, September.
    2. Wakeley, John & Nowak, Martin, 2019. "A two-player iterated survival game," Theoretical Population Biology, Elsevier, vol. 125(C), pages 38-55.
    3. Colin Benjamin & Arjun Krishnan U.M., 2023. "Nash equilibrium mapping vs. Hamiltonian dynamics vs. Darwinian evolution for some social dilemma games in the thermodynamic limit," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(7), pages 1-16, July.

    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:gam:jftint:v:12:y:2020:i:3:p:47-:d:330123. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.