Using Fuzzy Logic Control to Provide Intelligent Traffic Management

Using Fuzzy Logic Control to Provide Intelligent Traffic Management java project report. In view of the fast-growing Internet traffic, this paper propose a distributed traffic management framework, in which routers are deployed with intelligent data rate controllers to tackle the traffic mass. Unlike other explicit traffic control protocols that have to estimate network parameters (e.g., link latency, bottleneck bandwidth, packet loss rate, or the number of flows) in order to compute the allowed source sending rate, our fuzzy-logic-based controller can measure the router queue size directly; hence it avoids various potential performance problems arising from parameter estimations while reducing much consumption of computation and memory resources in routers. Click here to get complete JAVA projects lists.

Conclusion

Using Fuzzy Logic Control to Provide Intelligent Traffic Management java project report A novel traffic management scheme, called the Intel Rate controller, has been proposed to manage the Internet congestion in order to assure the quality of service for different service applications. The controller is designed by paying attention to the disadvantages as well as the advantages of the existing congestion control protocols. As a distributed operation in networks, the Intel Rate controller uses the instantaneous queue size alone to effectively throttle the source sending rate with max-min fairness.