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Enhancing traffic capacity of scale-free networks by link-directed strategy

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)

Abstract

The transport efficiency of a network is strongly related to the underlying structure. In this paper, we propose an efficient strategy named high-betweenness-first (HBF) for the purpose of improving the traffic handling capacity of scale-free networks by limiting a fraction of undirected links to be unidirectional ones based on the links’ betweenness. Compared with the high-degree-first (HDF) strategy, the traffic capacity can be more significantly enhanced under the proposed link-directed strategy with the shortest path (SP) routing protocol. Simulation results in the Barabási–Albert (BA) model for scale-free networks show that the critical generating rate Rc which can evaluate the overall traffic capacity of a network system is larger after applying the HBF strategy, especially with nonrandom direction-determining rules. Because of the strongly improved traffic capacity, this work is helpful to design and optimize modern communication networks such as the software defined network.

Suggested Citation

  • Jinlong Ma & Weizhan Han & Qing Guo & Shuai Zhang, 2016. "Enhancing traffic capacity of scale-free networks by link-directed strategy," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(03), pages 1-12, March.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:03:n:s0129183116500285
    DOI: 10.1142/S0129183116500285
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    Citations

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    Cited by:

    1. Rui Ding & Jian Yin & Peng Dai & Lu Jiao & Rong Li & Tongfei Li & Jianjun Wu, 2019. "Optimal Topology of Multilayer Urban Traffic Networks," Complexity, Hindawi, vol. 2019, pages 1-19, October.
    2. Wang, Hongjue, 2019. "An universal algorithm for source location in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 620-630.
    3. Ma, Jinlong & Wang, Peng & An, Zishuo, 2023. "The influence of layered community network structure on traffic capacity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).

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