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A fuzzy admission control scheme for high-speed networks

In high-speed networks, the traffic control design becomes an important challenge, because of the diverse services support and the need for an efficient network resource engineering. To cope with rapidly changing network conditions and bursty traffic, the traffic control methods must be adaptive, flexible, and intelligent for efficient network management. Use of intelligent methods based on fuzzy logic, neural networks and genetic algorithms can prove to be efficient for traffic control in high-speed networks. We propose an intelligent call admission control scheme based on fuzzy logic. Performance evaluation via simulations shows that the proposed scheme has a good equivalent capacity estimation and a better admission region than the equivalent capacity method.