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Volume 32 Issue 2
Aug.  2010
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Feng Hui-bin, Zhang Shun-yi, Liu Chao, Liu Jue-fu. Novel Network Flow Control Model on Multi-Team Game Theory[J]. Journal of Electronics & Information Technology, 2010, 32(2): 267-271. doi: 10.3724/SP.J.1146.2008.01827
Citation: Feng Hui-bin, Zhang Shun-yi, Liu Chao, Liu Jue-fu. Novel Network Flow Control Model on Multi-Team Game Theory[J]. Journal of Electronics & Information Technology, 2010, 32(2): 267-271. doi: 10.3724/SP.J.1146.2008.01827

Novel Network Flow Control Model on Multi-Team Game Theory

doi: 10.3724/SP.J.1146.2008.01827
  • Received Date: 2008-12-30
  • Rev Recd Date: 2009-06-25
  • Publish Date: 2010-02-19
  • This paper investigates the communication network flow control with strong distributed feature and hierarchical structure, a novel network flow control model is studied by using the multi-team game model, the utility function is built up on flow rate and delay to make user flow satisfy different flow proportional QoS requirement, thus the Min-Max fair flow control game model is constituted by multi-team game optimized model. The existence of the non-inferior Nash equilibrium of the proposed network flow control model is proved theoretically. The correctness of the proposed model is validated by numerical evaluation, simulation result validates the user flow utility value is Pareto optimal at the non-inferior Nash equilibrium point.
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  • Yang Yue-quan, Cao Zhi-qiang, Tan Min, and Yi Jian-qiang. Fairness and dynamic flow control in both unicast and multicast architecture networks[J].IEEE Transactions on Systems, Man, and CyberneticsPart C: Applications and Reviews.2007, 37(2):206-212[2]Cho Jeong-Woo and Chong Song. Utility max-min flow control using slope-restricted utility functions[J].IEEE Transactions on Communications.2007, 55(5):963-972[3]Abdulla M S and Bhatnagar S. Network flow-control using asynchronous stochastic approximation[C]. Proceedings of the 46th IEEE Conference on Decision and Control, CDC, New Orleans, USA, December, 2008: 5857-5862.[4]Paganini F. A global stability result in network flow control[J].Systems and Control Letters.2002, 46(3):165-172[5]Jin Young-mi and Kesidis G. Charge sensitive and incentive compatible end-to-end window-based control for selfishusers[J].IEEE Journal on Selected Area in Communications.2006, 24(5):952-961[6]Altman E, Basar T, and Srikant R. Nash equilibria for combined flow control and routing in networks: Asymptotic behavior for a large number of users[J].IEEE Transactions on Automatic Control.2002, 47(6):917-930[7]Sahin I and Simaan M A. A flow and routing control policy for communication networks with multiple competitive Users[J].Journal of the Franklin Institute.2006, 343(2):168-180[8]S S Askera. On dynamical multi-team cournot game in exploitation of a renewable resource [J].Chaos, Solitons Fractals.2007, 32(1):264-268[9]Rosen J B. Existence and uniqueness of equilibrium points for concave N-person games[J].Econometrica.1965, 33(3):520-534
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