An effective logarithm-degree resource allocation strategy for three-layer networks

Jinlong Ma, Shaowei Zhang, Siyu Wang and Xiuqing Zhang
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Jinlong Ma: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, P. R. China
Shaowei Zhang: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, P. R. China
Siyu Wang: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, P. R. China
Xiuqing Zhang: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, P. R. China

International Journal of Modern Physics C (IJMPC), 2025, vol. 36, issue 07, 1-14

Abstract: Conventional resource allocation strategies, such as the Simplest Average (SA) resource allocation strategy, often assume identical transmission capacity for all nodes, failing to account for the actual importance of nodes within the network, especially in three-layer networks where inadequate resource allocation to hub nodes can significantly impact performance. Existing methods are primarily designed for single-layer networks and struggle to address the complexity and interdependencies of real-world multi-layer structures, thus limiting the optimization of network traffic capacity. This paper proposes an Effective Logarithm-Degree (EL) resource allocation strategy that allocates node delivery capacity based on the ratio of the logarithmic degrees of nodes across the logical and physical layers. Compared to the Simplest Average resource allocation strategy, the Effective Logarithm-Degree strategy significantly enhances network traffic capacity, increasing it by over 1.4 times and reducing traffic load by 60%, while also optimizing the load balance. Simulation results validate the superiority of the Effective Logarithm-Degree strategy in improving performance and resource utilization efficiency in three-layer network environments.

Keywords: Three-layer network; resource allocation strategy; traffic capacity; node delivery capacity (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0129183125500019

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