Fuzzy logic, neural networks, and soft computing
Communications of the ACM
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Readings in Fuzzy Sets for Intelligent Systems
Readings in Fuzzy Sets for Intelligent Systems
An Introduction to Fuzzy Logic Applications in Intelligent Systems
An Introduction to Fuzzy Logic Applications in Intelligent Systems
Journal of Computer and System Sciences - Special issue: Performance modelling and evaluation of computer systems
A Fuzzy-based Call Admission Control System forWireless Cellular Networks
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
A speed-aware handover system for wireless cellular networks based on fuzzy logic
Mobile Information Systems
International Journal of Distributed Sensor Networks - Heterogenous Wireless Ad Hoc and Sensor Networks
An intelligent call admission control system for wireless cellular networks based on fuzzy logic
Journal of Mobile Multimedia
Journal of Mobile Multimedia
Energy-efficient bandwidth allocation in wireless networks: algorithms, analysis, and simulations
IEEE Transactions on Wireless Communications
Performance of CAC strategies for multimedia traffic in wireless networks
IEEE Journal on Selected Areas in Communications
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The mobile cellular systems are expected to support multiple services with guaranteed Quality of Service (QoS). But, the ability of wireless systems to accommodate expected growth of traffic load and broadband services is limited by available radio frequency spectrum. Call Admission Control (CAC) is one of the resource management functions, which regulates network access to ensure QoS provisioning. However, the decision for CAC is very challenging issue due to user mobility, limited radio spectrum, and multimedia traffic characteristics. In our previous work, we proposed a fuzzy-based CAC system and compared the performance of the proposed system with Shadow Cluster Concept (SCC). In this work, we extend our work by considering the priority of the on-going connections. We evaluate by simulations the performance of the proposed system and compare its performance with our previous work. The performance evaluation shows that the proposed system has a good behaviour in keeping the QoS of on-going connections.