DocumentCode
2262041
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
fYear
2006
fDate
27-30 Nov. 2006
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCT.2006.341775
Filename
4146376
Link To Document