A Model of Fuzzy Control Backpressure in Policing Mechanisms for VDSL Network
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Abstract
With fuzzy logic it is possible to convert knowledge, which is expressed in an uncertain form, to an exact algorithm. Fuzzy control is based on fuzzy logic, which provides an efficient method to handle inexact information as a basis of reasoning. In fuzzy control, the controller can be represented with if-then rules. The interpretation of the controller is fuzzy but the controller is processing exact input-data and is producing exact output-data in a deterministic way. However, traditional policing mechanisms have proved to be inefficient in coping with the conflicting requirements of ideal policing mechanisms, that is, low dropping frames and high conforming frames. This led us to explore alternative solutions based on artificial intelligence techniques, specifically, in the field of fuzzy systems. In this paper, we propose a fuzzy control backpressure in policing mechanism that aims at detecting violations of parameter negotiated. We evaluate and compare the performance of the three fuzzy logic control backpressure in policing mechanisms, namely: Fuzzy backpressure Leaky Bucket(FBPLB), Fuzzy backpressure Jumping Window(FBPJW) and Fuzzy backpressure Triggered Jumping Window(FBPTJW) with conventional policing mechanisms, namely: Leaky Bucket(LB), Jumping Window(JW) and Triggered Jumping Window(TJW). Simulation results show that on VDSL frames, the fuzzy logic control scheme help remove performance of our fuzzy control backpressure in policing mechanisms much better than conventional policing one while various types of burst/silence traffic are generated.
Keywords: VDSL, Fuzzy Control Backpressure and Policing Mechanisms.
Corresponding author: E-mail: chalida@sau.ac.th, somchai@rangsit.rsu.ac.th, nin@scitech.au.edu
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References
[2] Lekcharoen, S. et. al, 2005 Performance Evaluation of VDSL Network with Policing Mechanisms. Proceeding of the IASTED International Conference Networks and Communication Systems, pp.133-138.
[3] Al-Wakeel Sami S., Rikli Nasser-Eddine and Al- Wehaibi Abdullah A, 1999 Evaluation of Fairness Strategies for ATM Congestion Control Policing Mechanisms Proceedings of the IASTED International Conference, pp. 200-204.
[4] Hu, Rose Qingyang and Petr, David W. 2000 A Predictive Self-tuning Fuzzy-logic Feedback Rate Controller IEEE/ACM transactions on networking, pp. 679-709.
[5] Oliverira, Ruy de, Braun, Torsten 2004 A Delay-based Approach Using Fuzzy Logic to Improve TCP error Detection in Ad hoc Networks WCNC 2004 – IEEE Wireless Communications and Networking Conference.
[6] Ko, You-Chang, Park, Sun-Chun, Chun, Chong-Youn, Lee, Hyong-Woo and Cho, Choong-Ho 2001 An Adaptive QoS Provisioning Distributed Call Admission Control Using Fuzzy Logic Control ICC 2001 – IEE International Conference on Communications, no. 1, pp. 356-360.
[7] Lekcharoen, S. et. al, 2005 Scheduling and QoS for Backpressure over Telecommunications Network. Proceeding of International Conference on Telecommunications and Computer Networks (TCN’05), pp.56-60.
[8] www.http://www.dlink.pl/docs/datenblatt/DEV3001_datasheet_en.pdf.
[9] www.http://www.etsi.org