Abstract
In ATM networks, due to the dynamic nature of the bursty traffic, severe network congestion may occur. Therefore, policing as the preventive congestion control is required for properly guaranteeing QoS. The leaky bucket control mechanism, which is the most widely and only implemented one, has some drawbacks. In this paper the principles of fuzzy logic are deployed to tackle the problem of congestion control. This paper implements the fuzzy logic based token bucket scheme in which token generation rate is controlled by Fuzzy Logic. This work studies how to implement token rate predicting and policing in a high speed (ATM) network using fuzzy token bucket. The fuzzy token rate predictor facilitates token rate predicting and dynamic policing. It is able to achieve lower delay, less cell loss and higher throughput by Fuzzy token bucket scheme. A simulation study was performed for the fuzzy logic predictor using MATLAB-Simulink Simulator. The simulation results show that the fuzzy logic predictor gave reasonable token rate prediction compared to a non-fuzzy Token bucket scheme.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
