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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xing-Wei Wang Hai-Quan Yang Min Huang |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Information Science and Engineering Northeastern University, Shenyang, 110004, China (Xing-Wei Wang; Hai-Quan Yang; Min Huang) |
| 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. |
| Starting Page | 3103 |
| Ending Page | 3108 |
| File Size | 148955 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5192949 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis QoS(Quality of Service) Multicast routing Always Best Connected Pareto optimum Quality of service Pareto optimization Routing Nash equilibrium Mathematics small-world optimization algorithm Multicast algorithms Web and internet services Pareto analysis Commercialization |
| Content Type | Text |
| Resource Type | Article |
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