Fuzzy based intelligent routing in high speed networks

As the increase in usage of computing systems like computers, tablets as well as smart devices there is a large desire for the fast-growing online traffic. Dispensed traffic control frame work has been suggested, in which routers are integrated with smart data rate planners to handle the extreme traffic level. The traffic control prototype is distinctive as more traffic control methods have to determine network guidelines which require link latency, bottleneck bandwidth, packet reduction rate, or the amount of flows to calculate the permitted source delivering level. The fuzzy-logic based controller can determine queue size exclusively; it neglects assorted potential efficiency concerns coming up because parameter quotations as we alleviate much usage of calculation and memory resource in routers. As a system parameter, the queue size can be checked precisely and applied for generating proactive choice if activity should be used to control the source transmitting rate, thereby improves the strength of the system to traffic congestion. By the fuzzy logic strategy, QoS (Quality of Service) in communication is guaranteed by good shows of our scheme like maxmin equity, low queuing delay and good robustness to system characteristics. The summary is that the outcomes and evaluations have confirmed the performance and made a provided a new benchmark that our traffic control scheme using fuzzy-logic can accomplish better efficiency than the established prototypes that count definitely on the evaluation of system parameter.