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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
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    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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).

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