Journal article
Sliding mode learning based congestion control for DiffServ networks
IET Control Theory & Applications, Vol.10(11), pp.1281-1287
2016
Abstract
In this study, a robust sliding mode learning control scheme is proposed to address the congestion control problem in differentiated services (DiffServ) networks. A validated non-linear network model is based on fluid flow theory corresponding to two important services, namely, the premium traffic and the ordinary traffic. The proposed congestion controller is able to efficiently cope with both the physical network resource constraints and unknown time delays associated with networking systems. Numerical results are presented to illustrate the effectiveness of the proposed control scheme.
Details
- Title
- Sliding mode learning based congestion control for DiffServ networks
- Authors/Creators
- M.T. Do (Author/Creator)H. Wang (Author/Creator)Z. Man (Author/Creator)J. Jin (Author/Creator)
- Publication Details
- IET Control Theory & Applications, Vol.10(11), pp.1281-1287
- Publisher
- IET
- Identifiers
- 991005544468107891
- Copyright
- © The Institution of Engineering and Technology 2016
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.46 Distributed & Real Time Computing
- 4.46.1156 Congestion Control
- Web Of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic
- Instruments & Instrumentation
- ESI research areas
- Engineering