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dc.contributor.authorVillar, Eneko
dc.contributor.authorMartín Toral, Imanol
dc.contributor.authorCalvo Gordillo, Isidro
dc.contributor.authorBarambones, Oscar ORCID
dc.contributor.authorFernández Bustamante, Pablo
dc.date.accessioned2024-08-28T07:16:46Z
dc.date.available2024-08-28T07:16:46Z
dc.date.issued2024-07-30
dc.identifier.citationSensors 24(15) : (2024) // Article ID 4929es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/69332
dc.description.abstractIndustry 4.0 introduced new concepts, technologies, and paradigms, such as Cyber Physical Systems (CPSs), Industrial Internet of Things (IIoT) and, more recently, Artificial Intelligence of Things (AIoT). These paradigms ease the creation of complex systems by integrating heterogeneous devices. As a result, the structure of the production systems is changing completely. In this scenario, the adoption of reference architectures based on standards may guide designers and developers to create complex AIoT applications. This article surveys the main reference architectures available for industrial AIoT applications, analyzing their key characteristics, objectives, and benefits; it also presents some use cases that may help designers create new applications. The main goal of this review is to help engineers identify the alternative that best suits every application. The authors conclude that existing reference architectures are a necessary tool for standardizing AIoT applications, since they may guide developers in the process of developing new applications. However, the use of reference architectures in real AIoT industrial applications is still incipient, so more development effort is needed in order for it to be widely adopted.es_ES
dc.description.sponsorshipThe authors wish to express their gratitude to the Basque Government through the project EKOHEGAZ II (ELKARTEK KK-2023/00051), to the Diputacion Foral de Alava (DFA) through the project CONAVANTER, to the UPV/EHU through the project GIU23/002, and to the MobilityLab Foundation (CONV23/14, CONV23/12) for supporting this work.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/
dc.subjectartificial intelligence of things (AIoT)es_ES
dc.subjectreference architectureses_ES
dc.subjectindustrial applicationses_ES
dc.subjectEdge/Fog/Cloud Computinges_ES
dc.subjectIoTes_ES
dc.subjectartificial intelligencees_ES
dc.titleArchitectures for Industrial AIoT Applicationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2024-08-09T13:04:57Z
dc.rights.holder© 2024 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/1424-8220/24/15/4929es_ES
dc.identifier.doi10.3390/s24154929
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoesIngeniería eléctrica
dc.departamentoeuSistemen ingeniaritza eta automatika
dc.departamentoeuIngeniaritza elektrikoa


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© 2024 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 © 2024 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/).