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Improved Efficient Routing Strategy On Scale-Free Networks

Author

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  • ZHONG-YUAN JIANG

    (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)

Abstract

Since the betweenness of nodes in complex networks can theoretically represent the traffic load of nodes under the currently used routing strategy, we propose an improved efficient (IE) routing strategy to enhance to the network traffic capacity based on the betweenness centrality. Any node with the highest betweenness is susceptible to traffic congestion. An efficient way to improve the network traffic capacity is to redistribute the heavy traffic load from these central nodes to non-central nodes, so in this paper, we firstly give a path cost function by considering the sum of node betweenness with a tunable parameter β along the actual path. Then, by minimizing the path cost, our IE routing strategy achieved obvious improvement on the network transport efficiency. Simulations on scale-free Barabási–Albert (BA) networks confirmed the effectiveness of our strategy, when compared with the efficient routing (ER) and the shortest path (SP) routing.

Suggested Citation

  • Zhong-Yuan Jiang & Man-Gui Liang, 2012. "Improved Efficient Routing Strategy On Scale-Free Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-11.
    • Handle: RePEc:wsi:ijmpcx:v:23:y:2012:i:02:n:s0129183112500167
    DOI: 10.1142/S0129183112500167
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    Cited by:

    1. Xi Zhang & Zhili Zhou & Dong Cheng, 2017. "Efficient path routing strategy for flows with multiple priorities on scale-free networks," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-16, February.
    2. Saxena, Chandni & Doja, M.N. & Ahmad, Tanvir, 2018. "Group based centrality for immunization of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 35-47.

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