A Microeconomics-Based Fuzzy QoS Unicast Routing Scheme in NGI

Wang, Xingwei; Hou, Meijia; Wang, Junwei; Huang, Min

doi:10.1007/11596356_105

Cited by 8 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If the following inequalities satisfied [9]: {nu m*n* 2 nu mn UU m*n* > UU m*n (19) <am *, bn *> is a solution under Nash equilibrium, where m * and n * represent certain m and n respectively. If there are zero or more than one solutions under Nash equilibrium, Pareto superiority [13] of the network provider utility and the user utility under the corresponding strategy pairs need to be compared, and then the one with the strongest Pareto superiority is selected.…”

Section: Gaming Analysismentioning

confidence: 99%

A Game Theory and QGA Based Flexible QoS Unicast Routing Scheme

Wang

Hou

et al. 2006

2006 International Conference on Communication Technology

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Gaming Analysismentioning

confidence: 99%

A Game Theory and QGA Based Flexible QoS Unicast Routing Scheme

Wang

Hou

et al. 2006

2006 International Conference on Communication Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The proposed scheme, the proposed microeconomics based fuzzy unicast QoS routing scheme in [24], and the unicast routing scheme based on Dijkstra algorithm [8] have been simulated on some physical and virtual network topologies, called A, G and D schemes below for short. Compared with A scheme, G scheme takes imprecise network status and both-win of the network provider utility and the user utility into account but does not consider imprecise user QoS requirement and ABC.…”

Section: Simulation Researchmentioning

confidence: 99%

A Small-World Optimization Algorithm Based and ABC Supported QoS Unicast Routing Scheme

Wang

Cai

Huang

2007

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Abstract. In this paper, by introducing knowledge of fuzzy mathematics, probability theory and gaming theory, a QoS unicast routing scheme with ABC supported is proposed based on small-world optimization algorithm. Under inaccurate network status information and imprecise user QoS requirement, the proposed scheme uses the range to describe the user QoS requirement and the edge parameter, introduces the user satisfaction degree function, the edge evaluation function and the path evaluation function, trying to find a QoS unicast path with Pareto optimum under 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 with better performance.

show abstract