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

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URI: https://hdl.handle.net/11556/4185
ISSN: 1424-8220
DOI: 10.3390/s22228754
Publication date
2022-11
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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.
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Publisher Copyright: © 2022 by the authors.
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802.11 protocol model , refined mean-field approximation , Analytical Chemistry , Information Systems , Biochemistry , Atomic and Molecular Physics, and Optics , Instrumentation , Electrical and Electronic Engineering
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journal article
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Ispizua , B & Doncel , J 2022 , ' Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model ' , Sensors , vol. 22 , no. 22 , 8754 . https://doi.org/10.3390/s22228754