Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784776517376540672 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9416596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT qadriyazdanahmad preparingwifi7forhealthcareinternetofthings AT zulqarnain preparingwifi7forhealthcareinternetofthings AT naumanali preparingwifi7forhealthcareinternetofthings AT musaddiqarslan preparingwifi7forhealthcareinternetofthings AT garciavillegaseduard preparingwifi7forhealthcareinternetofthings AT kimsungwon preparingwifi7forhealthcareinternetofthings |