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Enhancing traffic capacity of scale-free networks by employing hybrid routing strategy

Author

Listed:
  • Jiang, Zhong-Yuan
  • Ma, Jian-Feng
  • Jing, Xu

Abstract

Based on the consideration of easy implementation of new routing strategies on many real complex networks such as the Internet, we propose a hybrid routing mechanism composed of the shortest path routing and the global dynamic routing strategy to improve the network traffic capacity. Under the background of current routing policy and network structure, packets can be sent along the shortest paths or by using source routing information. In this work, a global dynamic source routing strategy is employed as a supplementary routing mechanism to bypass central nodes and increase the delivery capacity utilization of all nodes significantly in the network. The traffic capacity of networked complex systems can be enhanced tens of times at the cost of a little average path lengthening. This hybrid routing method is very useful to network service providers and can be constitutionally supported on several networked complex systems such as the Internet and wireless ad hoc networks.

Suggested Citation

  • Jiang, Zhong-Yuan & Ma, Jian-Feng & Jing, Xu, 2015. "Enhancing traffic capacity of scale-free networks by employing hybrid routing strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 422(C), pages 181-186.
    • Handle: RePEc:eee:phsmap:v:422:y:2015:i:c:p:181-186
    DOI: 10.1016/j.physa.2014.12.016
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    Citations

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    Cited by:

    1. Huang, Jian & Hu, Mao-Bin & Jiang, Rui & Li, Ming, 2018. "Effect of pre-signals in a Manhattan-like urban traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 71-85.
    2. Shen, Yi & Yang, Huang & Xie, Yuangcheng & Liu, Yang & Ren, Gang, 2023. "Adaptive robustness optimization against network cascading congestion induced by fluctuant load via a bilateral-adaptive strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    3. Zi-Yu Li & Jia-Yu Zhong & Yuan-Biao Zhang & Yi-Yan Wang & Li-Qun Yang, 2017. "Research on Influence of Community Opening on Road Capacity," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(2), pages 116-125, June.
    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).
    5. Shen, Yi & Ren, Gang & Liu, Yang, 2016. "Finding the biased-shortest path with minimal congestion in networks via linear-prediction of queue length," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 229-240.
    6. Shen, Yi & Song, Guohao & Xu, Huangliang & Xie, Yuancheng, 2020. "Model of node traffic recovery behavior and cascading congestion analysis in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

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