A GA-based PID active queue management control design for TCP/IP networks

Hang Hong Kuo, Chang Kuo Chen, Jun Juh Yan, Teh Lu Liao

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In this paper, a genetic algorithm-based (GA-based) proportional-integral- derivative (PID) controller as an active queue manager for Internet routers is proposed to reduce packet loss and improve network utilization in TCP/IP networks. Based on the window-based nonlinear dynamics, the TCP network was modeled as a time-delayed system with a saturated input due to the limitations of packet-dropping probability and the effects of propagation delays in TCP networks. An improved genetic algorithm is employed to derive optimal or near optimal PID control gains such that a performance index of integrated-absolute error (IAE) in terms of the error between the router queue length and the desired queue length is minimized. The performance of the proposed control scheme was evaluated in various network scenarios via a series of numerical simulations. The simulation results confirm that the proposed scheme outperforms other AQM schemes.

Original languageEnglish
Article number012101
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 2008 Feb 1

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)


Dive into the research topics of 'A GA-based PID active queue management control design for TCP/IP networks'. Together they form a unique fingerprint.

Cite this