@article{781370299ab3410b9de2c33aa587e456,
title = "Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model",
abstract = "Mean-field approximation is a method to investigate the behavior of stochastic models formed by a large number of interacting objects. A new approximation was recently established, i.e., the refined mean-field approximation, and its high accuracy when the number of objects is small has been shown. In this work, we consider the model of the 802.11 protocol, which is a discrete-time model and show how the refined mean-field approximation can be adapted to this model. Our results confirm the accuracy of the refined mean-field approximation when the model with N objects is in discrete time.",
keywords = "802.11 protocol model, refined mean-field approximation",
author = "Bego{\~n}a Ispizua and Josu Doncel",
note = "Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
month = nov,
doi = "10.3390/s22228754",
language = "English",
volume = "22",
journal = "Sensors",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "22",
}