DocumentCode :
2755862
Title :
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
Link To Document :
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