Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model

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Fecha
2022-11-12
Autor
Ispizua, Begoña
Doncel Vicente, Josu ORCID
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Sensors 22(22) : (2022) // Article ID 8754
URI
http://hdl.handle.net/10810/58549
Resumen
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.
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© 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como © 2022 by the authors.Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).