Title :
A Game Theory and QGA Based Flexible QoS Unicast Routing Scheme
Author :
Wang, Xingwei ; Wang, Qi ; Hou, Meijia ; Huang, Min
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
In this paper, the knowledge of the fuzzy mathematics, game theory and artificial life computing method is introduced to design a flexible QoS unicast routing scheme. 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 it is both feasible and effective with better performance.
Keywords :
Pareto optimisation; fuzzy set theory; game theory; genetic algorithms; quality of service; telecommunication network routing; Nash equilibrium; Pareto-optimum; QGA; QoS unicast path; artificial life computing method; flexible QoS unicast routing scheme; fuzzy mathematics; game theory; quantum genetic algorithm; Bandwidth; Delay; Error analysis; Game theory; Information science; Mathematics; Nash equilibrium; Quality of service; Routing; Unicast;
Conference_Titel :
Communication Technology, 2006. ICCT '06. International Conference on
Conference_Location :
Guilin
Print_ISBN :
1-4244-0800-8
Electronic_ISBN :
1-4244-0801-6
DOI :
10.1109/ICCT.2006.341775
