Telecommunication networks: protocols, modeling and analysis
Telecommunication networks: protocols, modeling and analysis
Data networks
Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Peak rate enforcement in ATM networks
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 2)
Dimensioning criteria for policing functions in ATM networks
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 2)
TriComm '92 Proceedings of the conference on High-speed communication networks
Load-balancing in multistage interconnection networks under multiple-pass routing
Journal of Parallel and Distributed Computing
Routing high-bandwidth traffic in max-min fair share networks
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
A fuzzy control approach for adaptive traffic routing
IEEE Communications Magazine
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
QoS-based routing of multimedia streams in computer networks
IEEE Journal on Selected Areas in Communications
Topology design and bandwidth allocation in ATM nets
IEEE Journal on Selected Areas in Communications
Modeling and performance comparison of policing mechanisms for ATM networks
IEEE Journal on Selected Areas in Communications
Routing subject to quality of service constraints in integrated communication networks
IEEE Network: The Magazine of Global Internetworking
A fuzzy genetic algorithm for QoS multicast routing
Computer Communications
An intelligent routing and CAC framework for large-scale networks based on cooperative agents
Computer Communications
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Routing algorithms are required to guarantee the various quality-of-service (QoS) characteristics requested by the wide range of applications supported by Broadband Integrated Services Digital Networks (B-ISDNs). In this paper the routing problem is formulated as a fuzzy multiobjective optimization model. The fuzzy approach allows for the inclusion and evaluation of several criteria simultaneously. The proposed model takes into consideration the balancing of the load in the network to avoid link saturation and hence the possibility of congestion. The efficiency and applicability of the model are tested under different load conditions by studying several measures of performance.