Computer
Measurement-based admission control with aggregate traffic envelopes
IEEE/ACM Transactions on Networking (TON)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Readings in Fuzzy Sets for Intelligent Systems
Readings in Fuzzy Sets for Intelligent Systems
A CAC Scheme for Multimedia Applications Based on Fuzzy Logic
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
Call admission control schemes: a review
IEEE Communications Magazine
Guest Editorial: Computational intelligence in telecommunications networks
Computer Communications
An intelligent routing and CAC framework for large-scale networks based on cooperative agents
Computer Communications
IEEE Network: The Magazine of Global Internetworking
Routing in multihop packet switching networks: Gb/s challenge
IEEE Network: The Magazine of Global Internetworking
Routing subject to quality of service constraints in integrated communication networks
IEEE Network: The Magazine of Global Internetworking
Performance Evaluation of Two Search Space Reduction Methods for a Distributed Network Architecture
NBiS '08 Proceedings of the 2nd international conference on Network-Based Information Systems
Mobile Information Systems
International Journal of Business Intelligence and Data Mining
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing
Journal of Computer and System Sciences
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In order to support multimedia communication, it is necessary to develop routing algorithms which use for routing more than one QoS parameters. This is because new services such as video on demand and remote meeting systems require better QoS. Also, for the Call Admission Control (CAC) of multimedia applications different QoS parameters should be considered. In our previous work, we proposed an intelligent routing and CAC strategy using cooperative agents. However, we only considered the time delay for the routing. The QoS and Congestion Control (CC) parameters were considered as indicators of QoS satisfication and congestion. In this work, we extend our previous work by proposing and implementing new algorithms based on Fuzzy Logic (FL) and Genetic Algorithm (GA) which use for CAC and routing many QoS parameters. The simulation results show that proposed flamework has a good performance and is a promising method for QoS routing and CAC decision.