QoS routing in networks with uncertain parameters
IEEE/ACM Transactions on Networking (TON)
QoS routing in networks with inaccurate information: theory and algorithms
IEEE/ACM Transactions on Networking (TON)
Routing in multimetric networks using a fuzzy link cost
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
A source-based algorithm for delay-constrained minimum-cost multicasting
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
Routing support for providing guaranteed end-to-end quality-of-service
Routing support for providing guaranteed end-to-end quality-of-service
Fuzzy multiobjective routing model in B-ISDN
Computer Communications
A fuzzy control approach for adaptive traffic routing
IEEE Communications Magazine
Bandwidth-delay-constrained least-cost multicast routing based on heuristic genetic algorithm
Computer Communications
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
A method for least-cost QoS multicast routing based on genetic simulated annealing algorithm
Computer Communications
An ABC supported QoS multicast routing scheme based on beehive algorithm
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Small-world optimization based QoS multicast routing scheme with ABC supported
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
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It is impossible for nodes in an actual dynamic network to maintain the global accurate network state information. Therefore, it is unreasonable and inefficient to express the QoS constraints with deterministic crisp values. In this paper, the QoS multicast routing problem is solved by use of the generalized fuzzy-constrained fuzzy-optimization model. Both imprecision of the network state information and the fuzziness of QoS constraints are taken into account invoking fuzzy set theory. A new fuzzy genetic algorithm for QoS multicast routing is also presented and simulation experiments demonstrate that the algorithm is efficient.