Open AccessCongestion control with AQM and dynamic quantisers
Author(s) -
Sadek Belamfedel Alaoui,
Houssaine Tissir El,
Noreddine Chaibi
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2020.0626
Subject(s) - active queue management , transmission control protocol , control theory (sociology) , network congestion , computer science , scaling , queue , matlab , controller (irrigation) , lyapunov function , control (management) , mathematics , computer network , network packet , physics , geometry , nonlinear system , quantum mechanics , agronomy , biology , operating system , artificial intelligence
This study is concerned with the design of active queue management (AQM) subjected to quantisation errors. First, the authors will show here that quantisation errors exist when AQM experiences transmission control protocol (TCP) during the congestion. Second, a TCP/AQM model that takes into account quantisation errors is proposed – the considered quantisers are dynamic and have a scale parameter. Based on this model, stabilisation will be analysed in which the controller and the scaling parameters are obtained using the Lyapunov–Krassovskii functional method. Finally, Matlab simulation results are displayed to show the effectiveness of the proposed method.