An intelligent routing and CAC framework for large-scale networks based on cooperative agents
Computer Communications
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The Asynchronous Transfer Mode (ATM) has been standardized and widely accepted as a technique to support future B-ISDN networks. In ATM networks, the traffic control design becomes an important challenge, because of the diverse services support and the need of an efficient network resource engineering. Two of important functions for traffic control in ATM networks are policing and routing. The goal of these two functions is to guarantee the required quality of service. So far, all studies have treated policing and routing in a separate way. The combination of policing and routing can guarantee a better quality of service and increase the network utilization. Traditional network control strategies are not well suited for high speed networks. Use of intelligent algorithms based on fuzzy logic, neural networks and genetic algorithms can prove to be efficient for traffic control in ATM networks. In this paper, we propose an intelligent policing-routing mechanism based on fuzzy logic and genetic algorithms. Performance evaluation via simulations shows that, the proposed mechanism performs better than conventional policing mechanisms and routing algorithms.