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
Chaochanchaikul*, C. ., Lekcharoen, S. ., & Jittawiriyanukoon, C. . (2018). A Model of Fuzzy Control Backpressure in Policing Mechanisms for VDSL Network. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 223-231.

https://cast.kmitl.ac.th/articles/147845