Evolutionary game of N competing AIMD connections
Oleksii Ignatenko, Oleksandr Synetskyi

TL;DR
This paper models the dynamic behavior of N competing AIMD connections using evolutionary game theory, providing a mathematical framework with differential equations, payoff matrices, and equilibrium conditions, supported by simulations.
Contribution
It introduces a novel differential equation model for network dynamics with discontinuities and analyzes equilibrium conditions based on loss sensitivity.
Findings
Existence and uniqueness of solutions for the model
Payoff matrix formulation for network game
Conditions for equilibrium depending on parameters
Abstract
This paper deals with modeling of network's dynamic using evolutionary games approach. Today there are many different protocols for data transmission through the Internet, providing users with better or worse service. The process of choosing better protocol could be considered as a dynamic game with players (users), trying to maximize their payoffs (eg throughput). In this work we presented the model of network's dynamic using differential equations with discontinuous right side and proved existence and uniqueness of the solution, formulated payoff matrix for a network game and found conditions of equilibrium existence depending on loss sensitivity parameter. The results are illustrated by simulations
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Advanced Wireless Network Optimization · Wireless Networks and Protocols
