Large Scale Network Traffic Optimization Algorithm Based on Differential Equations

Nan Wang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid growth of Internet users and data traffic, frequent congestion and high latency issues in large-scale networks challenge network performance and user experience. This article proposes a network traffic optimization algorithm based on differential equation theory. It first establishes a differential equation model to describe traffic dynamics between network nodes, then derives an optimal control strategy through stability analysis. An iterative algorithm is designed for real-time traffic adjustment and optimization. Experimental results demonstrate that the algorithm improves throughput and stability. Compared to TCP Reno and TCP Vegas, the differential equation-based algorithm achieves an average throughput of 72.3 Mbps and recovers congestion control to 9.5 Mbps within 3 seconds. It also adapts better to delays and maintains stable throughput even with a delay of up to 200ms. The research confirms the effectiveness of differential equation-based algorithms for optimizing network traffic, offering new methods to enhance large-scale network performance.

Original languageEnglish
Title of host publication4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350352931
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024 - Tumkuru, India
Duration: 4 Dec 20245 Dec 2024

Publication series

Name4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

Conference

Conference4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024
Country/TerritoryIndia
CityTumkuru
Period4/12/245/12/24

Keywords

  • congestion control
  • differential equation
  • network traffic optimization
  • throughput improvement

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