AQM controller design for TCP networks based on a new control strategy

被引:18
作者
Kahe, Ghasem [1 ]
Jahangir, Amir Hossein [1 ]
Ebrahimi, Behrouz [2 ]
机构
[1] Sharif Univ Technol, Dept Comp Engn, Tehran 1458889694, Iran
[2] Texas A&M Univ Qatar, Dept Mech Engn, Doha 23874, Qatar
关键词
Active queue management (AQM); Congestion control; TCP network; ACTIVE QUEUE MANAGEMENT; CONGESTION CONTROL; FLOWS; ALGORITHMS; RED;
D O I
10.1007/s11235-013-9859-y
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
When the network suffers from congestion, the core or edge routers signal the incidence of congestion through the active queue management (AQM) to the sources. The time-varying nature of the network dynamics and the complex process of retuning the current AQM algorithms for different operating points necessitate the development of a new AQM algorithm. Since the non-minimum phase characteristics of the network dynamics restrict direct application of the proportional-integral-derivative (PID) controller, we propose a compensated PID controller based on a new control strategy addressing the phase-lag and restrictions caused by the delay. Based on the unstable internal dynamics caused by the non-minimum phase characteristics, a dynamic compensator is designed and a PID controller is then allowed to meet the desired performance objectives by specifying appropriate dynamics for the tracking error. Since the controller gains are obtained directly from the dynamic model, the designed controller does not require to be tuned over the system operating envelop. Moreover, simulation results using ns2 show improvements over previous works especially when the range of variation of delay and model parameters are drastic. Simplicity, low computational cost, self-tuning structure and yet considerable improvement in performance are exclusive features of the proposed AQM for the edge or core routers.
引用
收藏
页码:295 / 311
页数:17
相关论文
共 36 条
[1]  
[Anonymous], 2001, MATH MODELING INTERN
[2]   Feedback control for router management and TCP/IP network stability [J].
Ariba, Yassine ;
Gouaisbaut, Frédéric ;
Labit, Yann .
IEEE Transactions on Network and Service Management, 2009, 6 (04) :255-266
[3]   Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks [J].
Barzamini, R. ;
Shafiee, M. ;
Dadlani, A. .
COMPUTER COMMUNICATIONS, 2012, 35 (02) :170-178
[4]  
BONALD T, 2000, P 19 ANN JOINT C IEE, V3, P1415
[5]  
Cao J, 2004, IEEE INFOCOM SER, P1546
[6]   Improving network congestion: A RED-based FuzzyPID approach [J].
Chen, Jengchung V. ;
Chen, Fu-Chi ;
Tarn, J. Michael ;
Yen, David C. .
COMPUTER STANDARDS & INTERFACES, 2012, 34 (05) :426-438
[7]   On designing self-tuning controllers for AQM routers supporting TCP flows based on pole placement [J].
Chen, Q ;
Yang, OWW .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2004, 22 (10) :1965-1974
[8]   Robust controller design for AQM router [J].
Chen, Qiang ;
Yang, Oliver W. W. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (05) :938-943
[9]   Tuning RED for Web traffic [J].
Christiansen, M ;
Jeffay, K ;
Ott, D ;
Smith, FD .
IEEE-ACM TRANSACTIONS ON NETWORKING, 2001, 9 (03) :249-264
[10]   A parameter-varying filtered PID strategy for air-fuel ratio control of spark ignition engines [J].
Ebrahimi, Behrouz ;
Tafreshi, Reza ;
Masudi, Houshang ;
Franchek, Matthew ;
Mohammadpour, Javad ;
Grigoriadis, Karolos .
CONTROL ENGINEERING PRACTICE, 2012, 20 (08) :805-815