Title :
A Flexible Intelligent QoS Unicast Routing Scheme in NGI
Author :
Wang, Xingwei ; Wang, Qi ; Huang, Min ; Tian, Ye
Author_Institution :
Northeastern Univ., Shenyang
Abstract :
QoS (Quality of Service) routing is essential in NGI (Next Generation Internet). Due to difficulty on the exact expression of the user QoS requirements, the flexible QoS should be supported. In addition, with gradual commercialization of network operation, the benefit conflict between the network provider and the user ask the so called win-win to be supported. Thus, the knowledge of the fuzzy mathematics, game theory and artificial life computing method is introduced to design a flexible QoS unicast routing scheme in this paper. Based on the QGA (Quantum Genetic Algorithm), it searches for a QoS unicast path with Pareto-optimum under Nash equilibrium between the provider utility and the user utility achieved or approached. Simulation results have shown that the proposed scheme is both feasible and effective with better performance.
Keywords :
Internet; Pareto optimisation; game theory; genetic algorithms; quality of service; telecommunication network routing; NGI; Nash equilibrium; Pareto optimum; QOS unicast routing; artificial life computing; flexible intelligent routing; fuzzy mathematics; game theory; network operation commercialization; network provider; next generation Internet; quality of service routing; quantum genetic algorithm; user utility; Commercialization; Computational modeling; Game theory; Genetic algorithms; Mathematics; Nash equilibrium; Quality of service; Routing; Unicast; Web and internet services;
Conference_Titel :
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0737-8
Electronic_ISBN :
978-1-4244-0737-8
DOI :
10.1109/ICIEA.2007.4318835
