Exploring the Potential of Wi-Fi in Industrial Environments: A Comparative Performance Analysis of IEEE 802.11 Standards

dc.contributor.affiliationInstituto Universitario Mixto de Tecnología de Informática
dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Telecomunicación
dc.contributor.affiliationDepartamento de Informática de Sistemas y Computadores
dc.contributor.affiliationDepartamento de Comunicaciones
dc.contributor.affiliationEscuela Politécnica Superior de Alcoy
dc.contributor.authorBartolín-Arnau, Luis M.es_ES
dc.contributor.authorOrozco-Santos, Federicoes_ES
dc.contributor.authorSempere Paya, Víctor Miguel
dc.contributor.authorSilvestre-Blanes, Javier
dc.contributor.authorAlbero-Albero, Teresa
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderAgencia Estatal de Investigaciónes_ES
dc.contributor.funderEuropean Regional Development Fundes_ES
dc.contributor.funderInstitut Valencià de Competitivitat Empresariales_ES
dc.date.accessioned2026-05-28T16:40:15Z
dc.date.available2026-05-28T16:40:15Z
dc.date.issued2025-06-05es_ES
dc.description.abstract[EN] The advent of Industry 4.0 brought about digitalisation and the integration of advanced technologies into industrial processes, with wireless networks emerging as a key enabler in the interconnection of smart devices, cyber-physical systems, and data analytics platforms. With the development of Industry 5.0 and its emphasis on human-machine collaboration, Wi-Fi has positioned itself as a viable alternative for industrial wireless connectivity, supporting seamless communication between robots, automation systems, and human operators. However, its adoption in critical applications remains limited due to persistent concerns over latency, reliability, and interference in shared-spectrum environments. This study evaluates the practical performance of Wi-Fi standards from 802.11n (Wi-Fi 4) to 802.11be (Wi-Fi 7) across three representative environments: residential, laboratory, and industrial. Six configurations were tested under consistent conditions, covering various frequency bands, channel widths, and traffic types. Results prove that Wi-Fi 6/6E delivers the best overall performance, particularly in low-interference 6 GHz scenarios. Wi-Fi 5 performs well in medium-range settings but is more sensitive to congestion, while Wi-Fi 4 consistently underperforms. Early Wi-Fi 7 hardware does not yet surpass Wi-Fi 6/6E consistently, reflecting its ongoing development. Despite these variations, the progression observed across generations clearly demonstrates incremental gains in throughput stability and latency control. While these improvements already provide tangible benefits for many industrial communication scenarios, the most significant leap in industrial applicability is expected to come from the effective implementation of high-efficiency mechanisms. These include OFDMA, TWT, scheduled uplink access, and enhanced QoS features. These capabilities, already embedded in the Wi-Fi 6 and 7 standards, represent the necessary foundation to move beyond conventional best-effort connectivity and toward supporting critical, latency-sensitive industrial applications.es_ES
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationBartolín-Arnau, LM.; Orozco-Santos, F.; Sempere Paya, Víctor Miguel; Silvestre-Blanes, Javier; Albero-Albero, Teresa (2025). Exploring the Potential of Wi-Fi in Industrial Environments: A Comparative Performance Analysis of IEEE 802.11 Standards. Telecom. 6(2):1-24. https://doi.org/10.3390/telecom6020040es_ES
dc.description.issue2es_ES
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dc.description.sponsorshipThe research leading to these results has been funded by the Horizon Europe Framework Programme of the European Commission under Grant Agreement No. 101058589 "AI Powered human-centred Robot Interactions for Smart Manufacturing (AI-PRISM), and by Evolution of the radio access network towards 6G for massive and low-latency services" funded by ERDF A way of making Europe and Ministerio de Ciencia, Innovacion y Universidades of Spain MCINAEI10.13039/501100011033 under Grant no. PID2021-123168NB-I00, and includes participations as part of the non-economic activity plan funded for the 2025 annuity by IVACE+.es_ES
dc.description.upvformatpfin24es_ES
dc.description.upvformatpinicio1es_ES
dc.description.volume6es_ES
dc.identifier.doi10.3390/telecom6020040es_ES
dc.identifier.eissn2673-4001es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/235539
dc.languageIngléses_ES
dc.publisherMDPI AGes_ES
dc.relation.ispartofTelecomes_ES
dc.relation.pasarelaS\557611es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123168NB-I00/ES/EVOLUCION DE LA RED DE ACCESO RADIO HACIA 6G PARA SERVICIOS MASIVOS Y DE BAJA LATENCIA/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/HE/101058589/EU/AI Powered human-centred Robot Interactions for Smart Manufacturing/es_ES
dc.relation.publisherversionhttp://doi.org/10.3390/telecom6020040es_ES
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectThroughputes_ES
dc.subjectLatencyes_ES
dc.subjectSpectral efficiencyes_ES
dc.subjectIEEE 802.11es_ES
dc.subjectBandwidthes_ES
dc.subjectTestbedes_ES
dc.titleExploring the Potential of Wi-Fi in Industrial Environments: A Comparative Performance Analysis of IEEE 802.11 Standardses_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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