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On-line Access: 2022-02-28

Received: 2020-05-23

Revision Accepted: 2022-04-22

Crosschecked: 2020-09-01

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Lazhar KASSA-BAGHDOUCHE

https://orcid.org/ 0000-0002-0013-1049

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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.2 P.291-303

http://doi.org/10.1631/FITEE.2000245


Design and analysis of a proportional-integral controller based on a Smith predictor for TCP/AQM network systems


Author(s):  Ouassim MENACER, Abderraouf MESSAI, Lazhar KASSA-BAGHDOUCHE

Affiliation(s):  Department of Electronics, Faculty of Technology Sciences, Frères Mentouri University of Constantine 1, 25000 Constantine, Algeria; more

Corresponding email(s):   kassabaghdouche_lazhar@yahoo.com, kassabaghdouche.lazhar@univ-guelma.dz

Key Words:  Active queue management, Transport control protocol, Round-trip time delay, Smith predictor


Ouassim MENACER, Abderraouf MESSAI, Lazhar KASSA-BAGHDOUCHE. Design and analysis of a proportional-integral controller based on a Smith predictor for TCP/AQM network systems[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(2): 291-303.

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journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="2",
pages="291-303",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000245"
}

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Abstract: 
active queue management (AQM) is essential to prevent the degradation of quality of service in TCP/AQM systems with round-trip time (RTT) delay. RTT delays are primarily caused by packet-propagation delays, but they can also be caused by the processing time of queuing operations and dynamically changing network situations. This study focuses on the design and analysis of an AQM digital controller under time-delay uncertainty. The controller is based on the smith predictor algorithm and is called the SMITHPI controller. This study also demonstrates the stability of the controller and its robustness against network parameter variations such as the number of TCP connections, time delays, and user datagram protocol flows. The performance, robustness, and effectiveness of the proposed SMITHPI controller are evaluated using the NS-2 simulator. Finally, the performance of the SMITHPI controller is compared with that of a well-known queue-based AQM, called the proportional-integral controller.

面向TCP/AQM网络系统基于史密斯预估器的比例积分控制器的设计与分析

Ouassim MENACER1, Abderraouf MESSAI1, Lazhar KASSA-BAGHDOUCHE2
1Frères Mentouri University of Constantine 1技术科学学院电子系,阿尔及利亚君士坦丁市,25000
28 May 1945 University of Guelma科学与技术学院电子通讯系,阿尔及利亚盖尔马市,24000
摘要:主动式队列管理(AQM)对于预防具有往返时滞的TCP/AQM系统的服务质量退化至关重要。往返时滞主要由数据包传播时延引起,但也可由队列操作的处理时间和动态改变的网络情况引起。本文聚焦带有时延不确定性的主动式队列管理数字控制器的设计与分析。该控制器基于史密斯预估器算法,我们称其为SMITHPI控制器。本文同时证明了该控制器的稳定性和抵御网络参数变化的鲁棒性,如传输控制协议源的数量、时延、用户数据电报协议流。运用NS-2仿真评估所提SMITHPI控制器的性能、鲁棒性和有效性。最后,将SMITHPI控制器与著名的主动式队列管理(称为比例积分控制器)进行性能比较。

关键词:主动式队列管理;传输控制协议;往返时滞;史密斯预估器

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Alaoui SB, Tissir EH, Chaibi N, 2018. Active queue management based feedback control for TCP with successive delays in single and multiple bottleneck topology. Comput Commun, 117:58-70. doi: 10.1016/j.comcom.2018.01.003

[2]Alvarez T, Martínez D, 2013. Handling the congestion control problem of TCP/AQM wireless networks with PID controllers. In: Yang GC, Ao SL, Gelman L (Eds.), IAENG Transactions on Engineering Technologies: Special Volume of the World Congress on Engineering 2012. Springer, Dordrecht, p.365-379. doi: 10.1007/978-94-007-6190-2_28

[3]Barzamini R, Shafiee M, Dadlani A, 2012. Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks. Comput Commun, 35(2):170-178. doi: 10.1016/j.comcom.2011.08.010

[4]Bisoy SK, Pattnaik PK, 2017. Design of feedback controller for TCP/AQM networks. Eng Sci Technol Int J, 20(1):116-132. doi: 10.1016/j.jestch.2016.10.002

[5]Chebli S, Elakkary A, Sefiani N, 2017. Multi-objective genetic algorithm optimization using PID controller for AQM-TCP networks. Int Rev Autom Contr, 10(1):33-39. doi: 10.15866/ireaco.v10i1.11143

[6]Hollot CV, Misra V, Towsley D, et al., 2001. On designing improved controllers for AQM routers supporting TCP flows. Proc 20th Annual Joint Conf of the IEEE Computer and Communications Society, Conf on Computer Communications, p.1726-1734. doi: 10.1109/INFCOM.2001.916670

[7]Hollot CV, Misra V, Towsley D, et al., 2002. Analysis and design of controllers for AQM routers supporting TCP flows. IEEE Trans Autom Contr, 47(6):945-959. doi: 10.1109/TAC.2002.1008360

[8]Isermann R, 1989. Digital Control Systems, Vol. 1, Fundamentals, Deterministic Control (2nd Ed.). Springer-Verlag, Berlin, Germany.

[9]Kahe G, Jahangir AH, 2019. A self-tuning controller for queuing delay regulation in TCP/AQM networks. Telecommun Syst, 71(2):215-229. doi: 10.1007/s11235-018-0526-1

[10]Kahe G, Jahangir AH, Ebrahimi B, 2014. AQM controller design for TCP networks based on a new control strategy. Telecommun Syst, 57(4):295-311. doi: 10.1007/s11235-013-9859-y

[11]Khoshnevisan L, Salmasi FR, 2016. A robust and high-performance queue management controller for large round trip time networks. Int J Syst Sci, 47(7):1586-1597. doi: 10.1080/00207721.2014.941959

[12]Kurz H, Goedecke W, 1981. Digital parameter-adaptive control of processes with unknown dead time. Automatica, 17(1):245-252. doi: 10.1016/0005-1098(81)90099-6

[13]Ma XY, 2008. The Research of Internet Congestion Control Algorithm. MS Thesis, Lanzhou University of Technology, Lanzhou, China (in Chinese).

[14]Manjunath S, Raina G, 2019. Stability and performance of compound TCP with a proportional integral queue policy. IEEE Trans Contr Syst Technol, 27(5):2139-2155. doi: 10.1109/TCST.2018.2855141

[15]Ogata K, 2010. Modern Control Engineering (5th Ed.). Prentice Hall, Upper Saddle River, USA.

[16]Ramakrishnan K, Floyd S, Black D, 2001. The Addition of Explicit Congestion Notification (ECN) to IP. RFC 3168.

[17]Riley GF, Henderson TR, 2010. The NS-3 network simulator. In: Wehrle K, Güneş M, Gross J (Eds.) Modeling and Tools for Network Simulation. Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-12331-3_2

[18]Ryu S, Rump C, Qiao CM, 2003a. Advances in Internet congestion control. IEEE Commun Surv Tut, 5(1):28-39. doi: 10.1109/COMST.2003.5342228

[19]Ryu S, Rump C, Qiao CM, 2003b. A predictive and robust active queue management for Internet congestion control. Proc 8th IEEE Symp on Computers and Communications, p.991-998. doi: 10.1109/ISCC.2003.1214245

[20]Sheikhan M, Shahnazi R, Hemmati E, 2013. Adaptive active queue management controller for TCP communication networks using PSO-RBF models. Neur Comput Appl, 22(5):933-945. doi: 10.1007/s00521-011-0786-0

[21]Wang DZ, Wu SJ, 2014. Design of the congestion control for TCP/AQM network with time-delay. Math Probl Eng, 2014:834698. doi: 10.1155/2014/834698

[22]Wang K, Liu Y, Liu XP, et al., 2019. Adaptive fuzzy funnel congestion control for TCP/AQM network. ISA Trans, 95:11-17. doi: 10.1016/j.isatra.2019.05.015

[23]Wang P, Chen H, Yang XP, et al., 2012. Design and analysis of a model predictive controller for active queue management. ISA Trans, 51(1):120-131. doi: 10.1016/j.isatra.2011.08.006

[24]Xiao LS, Wang ZX, Peng XH, 2009. Research on congestion control model and algorithm for high-speed network based on genetic neural network and intelligent PID. Proc 5th Int Conf on Wireless Communications, Networking and Mobile Computing, p.1-6. doi: 10.1109/WICOM.2009.5302733

[25]Xu S, Fei MR, Yang XH, 2016. A new scheme for network congestion control based on modified adaptive Smith predictor. Int J Simul-Syst Sci Technol, 17(28):30.1-30.6.

[26]Yazdi MN, Delavarkhalafi A, 2018. Robust stability and design of state feedback controller for straightforward active queue management. Int J Anal Appl, 16(5):654-672.

[27]Zhou C, He JW, Chen QW, 2013. A robust active queue management scheme for network congestion control. Comput Electr Eng, 39(2):285-294. doi: 10.1016/j.compeleceng.2012.11.008

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