IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v27y2016i04ns0129183116500443.html
   My bibliography  Save this article

Improved efficient routing strategy on two-layer complex networks

Author

Listed:
  • Jinlong Ma

    (School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China)

  • Weizhan Han

    (School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China†The 54th Research Institute of China, Electronics Technology Group Corporation, Shijiazhuang 050081, P. R. China)

  • Qing Guo

    (School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China)

  • Shuai Zhang

    (#x2021;Bestpay Wealth Management, Beijing 100031, P. R. China)

  • Junfang Wang

    (#x2020;The 54th Research Institute of China, Electronics Technology Group Corporation, Shijiazhuang 050081, P. R. China)

  • Zhihao Wang

    (#x2020;The 54th Research Institute of China, Electronics Technology Group Corporation, Shijiazhuang 050081, P. R. China)

Abstract

The traffic dynamics of multi-layer networks has become a hot research topic since many networks are comprised of two or more layers of subnetworks. Due to its low traffic capacity, the traditional shortest path routing (SPR) protocol is susceptible to congestion on two-layer complex networks. In this paper, we propose an efficient routing strategy named improved global awareness routing (IGAR) strategy which is based on the betweenness centrality of nodes in the two layers. With the proposed strategy, the routing paths can bypass hub nodes of both layers to enhance the transport efficiency. Simulation results show that the IGAR strategy can bring much better traffic capacity than the SPR and the global awareness routing (GAR) strategies. Because of the significantly improved traffic performance, this study is helpful to alleviate congestion of the two-layer complex networks.

Suggested Citation

  • Jinlong Ma & Weizhan Han & Qing Guo & Shuai Zhang & Junfang Wang & Zhihao Wang, 2016. "Improved efficient routing strategy on two-layer complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(04), pages 1-16, April.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:04:n:s0129183116500443
    DOI: 10.1142/S0129183116500443
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183116500443
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183116500443?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.

    Citations

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


    Cited by:

    1. Ke Hu & Ju Xiang & Yun-Xia Yu & Liang Tang & Qin Xiang & Jian-Ming Li & Yong-Hong Tang & Yong-Jun Chen & Yan Zhang, 2020. "Significance-based multi-scale method for network community detection and its application in disease-gene prediction," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-24, March.
    2. Zhang, Junfeng & Ma, Jinlong & Li, Hui-Jia, 2022. "An efficient link closing strategy for improving traffic capacity on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    3. Jing, Xing-Li & Hu, Mao-Bin & Chen, Jie, 2022. "Suppressing traffic-driven epidemic spreading in multiplex networks by effective traffic-flow assignment strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    4. Chen, Lei & Kou, Yingxin & Li, Zhanwu & Xu, An & Chang, Yizhe, 2018. "Relationships between Perron–Frobenius eigenvalue and measurements of loops in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 153-163.

    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:wsi:ijmpcx:v:27:y:2016:i:04:n:s0129183116500443. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.