Adaptive Neuron PID: A New Active Queue Management Algorithm

Author

Sun, Jinsheng ; Chen, Jinhua ; Wang, Zhiquan

Author_Institution

Dept. of Autom., Nanjing Univ. of Sci. & Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

6308

Lastpage

6312

Abstract

Active queue management (AQM) can maintain smaller queuing delay and higher throughput by purposefully dropping the packets at intermediate nodes. In this paper, a novel AQM algorithm, called adaptive neuron PID, is proposed, and the detailed statement of this algorithm is given. Simulation results show that the new algorithm is stable and robust for small time-delay network, and the response speed and the performance are obviously better than that of some existing algorithms such as ARED, PI and REM. At the same time, for the networks with large time-delay, this algorithm is also stable

Keywords

adaptive control; computer networks; delays; queueing theory; robust control; telecommunication congestion control; telecommunication network management; three-term control; AQM algorithm; active queue management; adaptive neuron PID; congestion control; large time-delays; queuing delay; small time-delay network; Automation; Delay; Neurons; Quality of service; Robustness; Sun; Technology management; Three-term control; Throughput; Web and internet services; AQM; PID; congestion control; neuron;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714297

Filename

1714297