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Improved efficient static weighted routing strategy on two-layer complex networks

Author

Listed:
  • Shuai Zhang

    (Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Beijing Key Laboratory of Advanced Information, Science and Network Technology, Beijing 100044, P. R. China)

  • Man-Gui Liang

    (Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P. R. China;
    Beijing Key Laboratory of Advanced Information, Science and Network Technology, Beijing 100044, P. R. China)

  • Zhong-Yuan Jiang

    (School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710126, P. R. China)

  • Hui-Jia Li

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100080, P. R. China)

Abstract

Global static routing is one kind of important routing algorithms for complex networks, especially in large communication networks. In this paper, we propose a heuristic global static routing algorithm to mitigate traffic congestion on two-layer complex networks. The proposed routing algorithm extends the relevant static weighted routing algorithm in the literature [Y. Zhou, Y. F. Peng, X. L. Yang and K. P. Long,Phys. Sci.84, 055802 (2011)]. Our routing path is constructed from a proper assignment of edge weights by considering the static information of both layers and an adjustable parameter α. When this routing algorithm is adopted on BA–BA two-layer networks with an appropriate parameter α, it can achieve the maximum network traffic capacity compared with the shortest path (SP) routing algorithm and the static weighted routing algorithm.

Suggested Citation

  • Shuai Zhang & Man-Gui Liang & Zhong-Yuan Jiang & Hui-Jia Li, 2015. "Improved efficient static weighted routing strategy on two-layer complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(01), pages 1-13.
    • Handle: RePEc:wsi:ijmpcx:v:26:y:2015:i:01:n:s0129183115500011
    DOI: 10.1142/S0129183115500011
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    Citations

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    Cited by:

    1. Wang, Shuliang & Zhang, Jianhua & Yue, Xin, 2018. "Multiple robustness assessment method for understanding structural and functional characteristics of the power network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 261-270.
    2. Dong, Zhengcheng & Tian, Meng & Liang, Jiaqi & Fang, Yanjun & Lu, Yuxin, 2019. "Research on the connection radius of dependency links in interdependent spatial networks against cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 555-564.
    3. Rui Ding & Norsidah Ujang & Hussain Bin Hamid & Mohd Shahrudin Abd Manan & Rong Li & Safwan Subhi Mousa Albadareen & Ashkan Nochian & Jianjun Wu, 2019. "Application of Complex Networks Theory in Urban Traffic Network Researches," Networks and Spatial Economics, Springer, vol. 19(4), pages 1281-1317, December.
    4. 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.
    5. Ding, Rui & Ujang, Norsidah & Hamid, Hussain bin & Manan, Mohd Shahrudin Abd & He, Yuou & Li, Rong & Wu, Jianjun, 2018. "Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 800-817.

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