DocumentCode
2802175
Title
Small-world optimization based QoS multicast routing scheme with ABC supported
Author
Wang, Xing-Wei ; Yang, Hai-Quan ; Huang, Min
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
3103
Lastpage
3108
Abstract
NGI (next generation Internet) needs to provide QoS (quality of service) routing and support ABC (always best connected). However, due to the difficulty on the exact measurement of the network status and the exact expression of the user QoS requirements, QoS routing scheme with ABC supported should be based on the fuzzy information. Meanwhile, with the gradual commercialization of the network operation, both the network provider and the user profits should be considered, thus their utility win-win should be supported. In this paper, by introducing the knowledge of the fuzzy mathematics, probability theory and gaming theory, a QoS multicast routing scheme with ABC supported is proposed. It uses the interval to describe the user QoS requirement and the edge (link) parameter, introducing the user satisfaction degree and the edge evaluation functions. With the help of the gaming analysis and based on the small-world optimization algorithm, it tries to find a QoS multicast tree with the Pareto optimum under the Nash equilibrium on both the network provider utility and the user utility achieved or approached. Simulation results have shown that it is both feasible and effective.
Keywords
Internet; Pareto optimisation; fuzzy set theory; game theory; quality of service; telecommunication network routing; ABC support; Nash equilibrium; Pareto optimum; QoS multicast routing scheme; always best connected; fuzzy information; fuzzy mathematics; gaming theory; next generation Internet; probability theory; quality of service; small-world optimization; Algorithm design and analysis; Commercialization; Mathematics; Multicast algorithms; Nash equilibrium; Pareto analysis; Pareto optimization; Quality of service; Routing; Web and internet services; Always Best Connected; Nash equilibrium; Pareto optimum; QoS(Quality of Service) Multicast routing; small-world optimization algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5192949
Filename
5192949
Link To Document