A predictive self-tuning fuzzy-logic feedback rate controller
IEEE/ACM Transactions on Networking (TON)
Data Communications and Networking 2nd Edition
Data Communications and Networking 2nd Edition
Journal of Network and Computer Applications
Two neuro-fuzzy control schemes for a traffic-regulating buffer in wireless technology
Information Sciences: an International Journal
A qoe fuzzy routing protocol for wireless mesh networks
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
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The performance communication networks including wireless network have been conceived to carry traffic sources and support a continuum of transport rates ranging from low bit-rate to high bit-rate traffic. As a number of telecommunications traffic (bursty traffic) fluctuates as such a network then it results congestion. The traditional policing mechanisms are finite-sized buffers with queue management techniques and fixed leak rate. Most queue management schemes employ fixed thresholds or a limited number of arrival frames, to determine when to allow or discard the entry of frames. So it is not properly controlled, some sessions transported by the wireless network may not meet their quality-of-service (QoS) requirements. 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. An alternative solution based on artificial intelligence techniques, specifically, in the field of fuzzy systems is introduced. In this paper, we propose fuzzy control policing mechanisms that aims at detecting violations in parameter negotiation. We evaluate and compare the performance of the fuzzy control policing mechanisms, namely: FuzzyLeaky Bucket(FLB) Fuzzy Jumping Window(FJW) and Fuzzy Triggered Jumping Window(FTJW) with conventional policing mechanisms, namely: Leaky Bucket(LB), Jumping Window(JW) and Triggered Jumping Window(TJW). Simulation results show that on wireless frames, the fuzzy control policing mechanism helps improve high throughputs and dropped frames compared to other policing mechanisms. In any case, fuzzy control policing mechanism in wireless network meets its quality-of-service (QoS) requirements if source traffic is at high peak rate.