Title
Intelligent Traffic Management Schemes in TCP/IP Networks: Performance Evaluation of Active Queue Management Schemes based on Co,Used
Delivery time: 8-12 business days (International)
This research presents an investigation into designing active queue management (AQM) controllers in the bottleneck gateway router using control theory. The main goals of this design are to increase the speed of response, improve stability and robustness of congestion control system. In this study a new design scheme is presented by augmenting a Smith Predictor (SP) to the standard RED controller. The new controller is named as SPRED. Smith predictor structure is incorporated to compensate the time delay of the system. Using Smith predictor the new controller is tuned to remove the effect of time delay and thus the primary controller is tuned to give good performance for a plant without delay. Moreover, a novel scheme of adaptive Smith Predictor controller using Neural Network for active queue management (NNAQM) is also presented. The main purpose of this investigation is to explore an intelligent online tuning controller, which has a structure fusion of the proposed SPRED and Neural Networks. In addition, an adaptive neurofuzzy inference system (ANFIS) based AQM control scheme is also proposed to deal with nonlinear time delay systems.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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