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Fault-tolerance needs to be improved and QoS (Quality of Service) routing is necessary in the network, fault-tolerant QoS routing is one of the effective mechanisms. However, due to the dynamic of network parameters, the fuzziness of user requirements, and the imprecise measurements of network parameters, fault-tolerant QoS routing is actually based on the fuzzy information. Therefore, by introducing...
Due to the heterogeneity, mobility, instability and other features of NGI (Next Generation Internet), it is difficult to provide users with QoS (Quality of Service). And fault-tolerance needs to be improved in NGI. Thus, an intelligent fault-tolerant QoS unicast routing mechanism based on the outlook algorithm is proposed. The knowledge of fuzzy mathematics and probability theory is introduced to...
Traffic can reflect the latent rules and characteristics of the wireless network. Through researching, we found that the more accurate traffic prediction, the higher efficiency, utilization rate of network bandwidth and QoS can be guaranteed. Therefore, how to construct predictive models of wireless network traffic exactly is a major research topic. In this paper, Minimax Probability Machine Regression...
In this paper, a QoS handoff decision scheme with ABC (always best connected) supported is proposed, and an optimal handoff solution of assigning N terminals to M access networks is found based on niche PSO algorithm. With help of gaming analysis, Pareto optimum under Nash equilibrium of user utility and network provider utility is achieved or approached for the found solution.
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,...
In this paper, a QoS unicast routing scheme with ABC supported is proposed. With gaming analysis and particle swarm optimization algorithm, it tries 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.
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