Evidence map›Paper›PMID 36015968›Full record

ArticleSensors (Basel, Switzerland)2022

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

Yazdan Ahmad Qadri, Zulqarnain, Ali Nauman, Arslan Musaddiq, Eduard Garcia-Villegas, Sung Won Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yazdan Ahmad QadriDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Korea.ORCID 0000-0001-5708-1532
ZulqarnainDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Korea.
Ali NaumanDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Korea.ORCID 0000-0002-2133-5286
Arslan MusaddiqDepartment of Computer Science and Media Technology, Linnaeus University, 391 82 Kalmar, Sweden.
Eduard Garcia-VillegasDepartment of Network Engineering, Universitat Polit'ecnica de Catalunya (UPC), 08034 Barcelona, Spain.ORCID 0000-0002-6005-9608
Sung Won KimDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Korea.ORCID 0000-0001-8454-6980

Funding

National Research Foundation of Korea NRF-2021R1A6A1A03039493National Research Foundation of Korea NRF-2022R1A2C1004401Spanish Ministry for Science and Innovation PID2019-106808RA-I00
6 · The paper itself

Abstract

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.

Indexed as

Internet of ThingsWireless TechnologyDelivery of Health CareElectrocardiographyHumanshealthcareIEEE 802.11beInternet of Thingsorthogonal frequency division multiple access

Identifiers

PMID36015968
PMCPMC9416596

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.