A Game Theory and BCC based Flexible QoS Multicast Routing Scheme

Author

Wang, Xingwei ; Han, Lin ; Huang, Min

Author_Institution

Northeastern Univ., Shenyang

fYear

2007

fDate

22-24 Aug. 2007

Firstpage

77

Lastpage

81

Abstract

In this paper, the knowledge of the fuzzy mathematics, game theory and swarm intelligence computing method is introduced to design a flexible QoS multicast routing scheme. Based on BCC (bacteria colony chemotaxis), it searches for a QoS multicast tree with Pareto optimum under Nash equilibrium between the network 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

fuzzy set theory; game theory; multicast communication; particle swarm optimisation; quality of service; telecommunication network routing; trees (mathematics); Nash equilibrium; Pareto optimum; bacteria colony chemotaxis; flexible QoS multicast routing scheme; fuzzy mathematics; game theory; multicast tree; network provider utility; swarm intelligence computing method; Bandwidth; Delay; Error analysis; Game theory; Mathematics; Microorganisms; Multicast algorithms; Nash equilibrium; Quality of service; Routing; NGI; Nash equilibrium; Pareto optimum; QoS multicast routing; bacterial colony chemotaxis algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1009-5

Electronic_ISBN

978-1-4244-1009-5

Type

conf

DOI

10.1109/CHINACOM.2007.4469332

Filename

4469332