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dc.contributor.authorIspizua, Begoña
dc.contributor.authorDoncel Vicente, Josu ORCID
dc.date.accessioned2022-11-25T13:06:59Z
dc.date.available2022-11-25T13:06:59Z
dc.date.issued2022-11-12
dc.identifier.citationSensors 22(22) : (2022) // Article ID 8754es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/58549
dc.description.abstractMean-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.es_ES
dc.description.sponsorshipThis research was founded by the Department of Education of the Basque Government, Spain, through the Consolidated Research Group MATHMODE (IT1456-22) and by the Marie Sklodowska-Curie, grant agreement number 777778.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/777778es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectrefined mean-field approximationes_ES
dc.subject802.11 protocol modeles_ES
dc.titleAnalysis of the Refined Mean-Field Approximation for the 802.11 Protocol Modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2022-11-24T14:43:49Z
dc.rights.holder© 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/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/22/22/8754es_ES
dc.identifier.doi10.3390/s22228754
dc.contributor.funderEuropean Commission
dc.departamentoesMatemáticas
dc.departamentoeuMatematika


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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/).
Except where otherwise noted, this item's license is described as © 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/).