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Performance Evaluation
Volume 62, Issues 1-4, October 2005, Pages 295-312
Performance 2005
 
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doi:10.1016/j.peva.2005.07.028    
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Copyright © 2005 Elsevier B.V. All rights reserved.

An evolutionary game-theoretic approach to congestion control

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D.S. Menaschéa, E-mail The Corresponding Author, D.R. Figueiredob, E-mail The Corresponding Author and E. de Souza e Silvaa, Corresponding Author Contact Information, E-mail The Corresponding Author

aComputer Science Department, IM and COPPE, Federal University of Rio de Janeiro, 21945-970 Rio de Janeiro, Brazil

bDepartment of Computer Science, University of Massachusetts, Amherst, MA 01003, USA


Available online 19 August 2005.

Abstract

This paper investigates a system where a set of users sharing a bottleneck link must choose the transmission rate at which multimedia traffic is received. Users are assumed to be self-regarding and make their decisions with the sole goal of maximizing their perceived quality. We are interested in the dynamic process by which users adapt their data rates and the convergence of this process to equilibria. We propose a novel two-layer model to represent this system: the upper layer is an evolutionary game-theoretic model that captures how users adapt their rates; the lower layer model captures the network performance and the quality perceived by the users. Using the model proposed, we demonstrate analytically and numerically several interesting properties of the system equilibria. In particular, we establish the relationship between system states that have non-negligible steady state probabilities and Nash equilibria of the induced game.

Keywords: Congestion control; Game theory; Markov chain; VoIP; Audio streaming; UDP

Article Outline

1. Introduction
2. Background and related work
3. The model
4. Model analysis
5. A performance and QoS model
6. Numerical examples
6.1. Impact of buffer capacity
6.2. Impact of link capacity
6.3. Impact of number of users
6.4. Three strategies case
7. Summary
Acknowledgements
References
Vitae







Corresponding Author Contact InformationCorresponding author.

Performance Evaluation
Volume 62, Issues 1-4, October 2005, Pages 295-312
Performance 2005
 
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