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Efficient traffic management in networks with limited resources: The switching routing strategy

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  • Mishra, Ankit
  • Wen, Tao
  • Cheong, Kang Hao

Abstract

The study of network traffic dynamics in the presence of limited links bandwidth and finite node storage capacity is of significant importance, and it has garnered attention across various scientific disciplines. In this work, the switching routing strategy is applied to address this challenge and several key findings are highlighted. When networks possess infinite bandwidth, the switching strategy is efficient when the number of packets n exceeds the node storage capacity. This is observed in both Erdős-Rényi random and Barabási-Albert scale-free networks. When bandwidth constraints are introduced, the switching strategy remains efficient for networks with a large number of nodes, that is, n≥2.5C for scale-free networks and n≥2.7C for random networks. Furthermore, the efficacy of the switching strategy is more pronounced in scale-free networks than in random networks, indicating the significant role of the structural characteristics. Additionally, the results indicate that the impact of the switching strategy becomes more remarkable with increasing number of packets and storage capacity of nodes. This work sheds light on the dynamics of network traffic in the presence of bandwidth and storage constraints, providing insights into the conditions under which the switching strategy can effectively optimize traffic flow.

Suggested Citation

  • Mishra, Ankit & Wen, Tao & Cheong, Kang Hao, 2024. "Efficient traffic management in networks with limited resources: The switching routing strategy," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:chsofr:v:181:y:2024:i:c:s0960077924002108
    DOI: 10.1016/j.chaos.2024.114658
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    References listed on IDEAS

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    1. Cheong, Kang Hao & Soo, Wayne Wah Ming, 2013. "Construction of novel stochastic matrices for analysis of Parrondo’s paradox," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4727-4738.
    2. Ye, Ye & Hang, Xiao Rong & Koh, Jin Ming & Miszczak, Jarosław Adam & Cheong, Kang Hao & Xie, Neng-gang, 2020. "Passive network evolution promotes group welfare in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    3. Ling, Xiang & Jiang, Rui & Wang, Xiong & Hu, Mao-Bin & Wu, Qing-Song, 2008. "Traffic of packets with non-homogeneously selected destinations in scale-free network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(18), pages 4709-4715.
    4. Benchuan Lin & Bokui Chen & Yachun Gao & Chi K Tse & Chuanfei Dong & Lixin Miao & Binghong Wang, 2016. "Advanced Algorithms for Local Routing Strategy on Complex Networks," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-17, July.
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    Cited by:

    1. Zhao, Jie & Wang, Zhen & Yu, Dengxiu & Cao, Jinde & Cheong, Kang Hao, 2024. "Swarm intelligence for protecting sensitive identities in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).

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