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Analysis of the High-Speed Network Performance through a Prediction Feedback Based Model
Abstract
Performance modeling of a high speed network is challenging, especially when the size of the network is large. The high speed networks span various applications such as the transportation, wireless sensors, et cetera. The present day transportation system makes uses of Internet for efficient command and control transfers. In such a communication system, reliability and in-time data transfer is critical. In addition to the sensor information, the present day wireless networks target to support streaming of multimedia and entertainment data from mobile to infrastructure network and vice versa. In this chapter, a novel modeling method for the network and its traffic shaping is introduced, and simulation model is provided. The performance with this model is analyzed. The case-study with wireless networks is considered. The chapter is essentially about solving the congestion control of packet loss using a differentially fed neural network controller.
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