In Transmission Control Protocol/Internet Protocol (TCP/IP) networks, the sudden surge traffic has exacerbated the buffering burden on the intermediate routing nodes, leading to increasingly serious problems such as data packet loss, delay, and instability. Therefore, congestion control methods are crucial for improving network performance. To solve the problem of buffer overflow at routing nodes in the network, an Active Queue Management (AQM) method is introduced to improve congestion and enhance network performance. In this paper, Proportional-Integral-Derivative (PID) control is used to implement a simple and reliable AQM controller, and an improved Red-Tailed Hawk optimization algorithm is applied to optimize the parameters to achieve the optimal control effect. Comparisons with other types of controllers are made to reflect the effect and stability of the controller. Under the same simulation parameters in MATLAB, the good control effect is reflected in the simulation experiments, and the proposed controller will converge the TCP/AQM system to a stable operating point, with lower packet loss/marking probability and queue error.

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Design a TCP/AQM Controller Using an Improved Red-Tailed Hawk Algorithm

  • Weimin Zheng,
  • Jia Li,
  • Yanxin Li

摘要

In Transmission Control Protocol/Internet Protocol (TCP/IP) networks, the sudden surge traffic has exacerbated the buffering burden on the intermediate routing nodes, leading to increasingly serious problems such as data packet loss, delay, and instability. Therefore, congestion control methods are crucial for improving network performance. To solve the problem of buffer overflow at routing nodes in the network, an Active Queue Management (AQM) method is introduced to improve congestion and enhance network performance. In this paper, Proportional-Integral-Derivative (PID) control is used to implement a simple and reliable AQM controller, and an improved Red-Tailed Hawk optimization algorithm is applied to optimize the parameters to achieve the optimal control effect. Comparisons with other types of controllers are made to reflect the effect and stability of the controller. Under the same simulation parameters in MATLAB, the good control effect is reflected in the simulation experiments, and the proposed controller will converge the TCP/AQM system to a stable operating point, with lower packet loss/marking probability and queue error.