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Preparing Wi-Fi 7 for Healthcare Internet-of-Things

The healthcare Internet of Things (H-IoT) is an interconnection of devices capable of sensing and transmitting information that conveys the status of an individual’s health. The continuous monitoring of an individual’s health for disease diagnosis and early detection is an important application of H...

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Detalles Bibliográficos
Autores principales: Qadri, Yazdan Ahmad, Zulqarnain, Nauman, Ali, Musaddiq, Arslan, Garcia-Villegas, Eduard, Kim, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416596/
https://www.ncbi.nlm.nih.gov/pubmed/36015968
http://dx.doi.org/10.3390/s22166209
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author Qadri, Yazdan Ahmad
Zulqarnain,
Nauman, Ali
Musaddiq, Arslan
Garcia-Villegas, Eduard
Kim, Sung Won
author_facet Qadri, Yazdan Ahmad
Zulqarnain,
Nauman, Ali
Musaddiq, Arslan
Garcia-Villegas, Eduard
Kim, Sung Won
author_sort Qadri, Yazdan Ahmad
collection PubMed
description The healthcare Internet of Things (H-IoT) is an interconnection of devices capable of sensing and transmitting information that conveys the status of an individual’s health. The continuous monitoring of an individual’s health for disease diagnosis and early detection is an important application of H-IoT. Ambient assisted living (AAL) entails monitoring a patient’s health to ensure their well-being. However, ensuring a limit on transmission delays is an essential requirement of such monitoring systems. The uplink (UL) transmission during the orthogonal frequency division multiple access (OFDMA) in the wireless local area networks (WLANs) can incur a delay which may not be acceptable for delay-sensitive applications such as H-IoT due to their random nature. Therefore, we propose a UL OFDMA scheduler for the next Wireless Fidelity (Wi-Fi) standard, the IEEE 802.11be, that is compliant with the latency requirements for healthcare applications. The scheduler allocates the channel resources for UL transmission taking into consideration the traffic class or access category. The results demonstrate that the proposed scheduler can achieve the required latency for H-IoT applications. Additionally, the performance in terms of fairness and throughput is also superior to state-of-the-art schedulers.
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spelling pubmed-94165962022-08-27 Preparing Wi-Fi 7 for Healthcare Internet-of-Things Qadri, Yazdan Ahmad Zulqarnain, Nauman, Ali Musaddiq, Arslan Garcia-Villegas, Eduard Kim, Sung Won Sensors (Basel) Article The healthcare Internet of Things (H-IoT) is an interconnection of devices capable of sensing and transmitting information that conveys the status of an individual’s health. The continuous monitoring of an individual’s health for disease diagnosis and early detection is an important application of H-IoT. Ambient assisted living (AAL) entails monitoring a patient’s health to ensure their well-being. However, ensuring a limit on transmission delays is an essential requirement of such monitoring systems. The uplink (UL) transmission during the orthogonal frequency division multiple access (OFDMA) in the wireless local area networks (WLANs) can incur a delay which may not be acceptable for delay-sensitive applications such as H-IoT due to their random nature. Therefore, we propose a UL OFDMA scheduler for the next Wireless Fidelity (Wi-Fi) standard, the IEEE 802.11be, that is compliant with the latency requirements for healthcare applications. The scheduler allocates the channel resources for UL transmission taking into consideration the traffic class or access category. The results demonstrate that the proposed scheduler can achieve the required latency for H-IoT applications. Additionally, the performance in terms of fairness and throughput is also superior to state-of-the-art schedulers. MDPI 2022-08-18 /pmc/articles/PMC9416596/ /pubmed/36015968 http://dx.doi.org/10.3390/s22166209 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Qadri, Yazdan Ahmad
Zulqarnain,
Nauman, Ali
Musaddiq, Arslan
Garcia-Villegas, Eduard
Kim, Sung Won
Preparing Wi-Fi 7 for Healthcare Internet-of-Things
title Preparing Wi-Fi 7 for Healthcare Internet-of-Things
title_full Preparing Wi-Fi 7 for Healthcare Internet-of-Things
title_fullStr Preparing Wi-Fi 7 for Healthcare Internet-of-Things
title_full_unstemmed Preparing Wi-Fi 7 for Healthcare Internet-of-Things
title_short Preparing Wi-Fi 7 for Healthcare Internet-of-Things
title_sort preparing wi-fi 7 for healthcare internet-of-things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416596/
https://www.ncbi.nlm.nih.gov/pubmed/36015968
http://dx.doi.org/10.3390/s22166209
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