Conflict controlled network modeling: evolutionary games approach
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Chiu, Dah-Ming, and Raj Jain. Analysis of the increase and decrease algorithms for congestion avoidance in computer networks. Computer Networks and ISDN systems 17.1 (1989): 1–14.
Kelly, Frank P., Aman K. Maulloo, and David KH Tan. "Rate control for communication networks: shadow prices, proportional
fairness and stability" // Journal of the Operational Research society. 1998. – P. 237–252.
Mo J., Walrand J. Fair end-to-end windowbased congestion control // IEEE/ACM Transactions on Networking. – 2000. – 8. – P. 556–567.
Paganini F., Doyle J.C., Low S.H. Scalable laws for stable network congestion control // Proc. of IEEE Conference on Decision and Control. – 2001. – 1. – P. 185–190.
Low S.H., Srikant R. A Mathematical Framework for Designing a Low-Loss, Low-Delay Internet // Network and Spatial Economics. –
– 4 (1). – P. 75–102.
Altman E. et al. The evolution of transport protocols: An evolutionary game perspective // Computer Networks. – 2009. – Т. 53. – N 10. – С. 1751–1759.
Smith, John Maynard. Evolution and the Theory of Games. Cambridge university press, 1982.
Altman E., Bonneau N., Debbah M., Caire G. An evolutionary game perspective to ALOHA with power control, in // Proceedings of the 19th International Teletraffic Congress, Beijing, 29 August–2 September, 2005
Han, Zhu, et al. Game theory in wireless and communication networks. Cambridge University Press, 2012.
Meyn, Sean P. Control techniques for complex networks. Cambridge University Press, 2008.
Filippov, Aleksei Fedorovich, and Felix Medland Arscott, eds. Differential Equations with Discontinuous Righthand Sides: Control Systems. Vol. 18. Springer, 1988.
Border, Kim C. Fixed point theorems with applications to economics and game theory // Cambridge university press. – 1989.
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