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Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review

Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information sharing. The main drivers for implementing effect...

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Detalles Bibliográficos
Autores principales: Younas, Muhammad Irfan, Iqbal, Muhammad Jawed, Aziz, Abdul, Sodhro, Ali Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650388/
https://www.ncbi.nlm.nih.gov/pubmed/37960584
http://dx.doi.org/10.3390/s23218885
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author Younas, Muhammad Irfan
Iqbal, Muhammad Jawed
Aziz, Abdul
Sodhro, Ali Hassan
author_facet Younas, Muhammad Irfan
Iqbal, Muhammad Jawed
Aziz, Abdul
Sodhro, Ali Hassan
author_sort Younas, Muhammad Irfan
collection PubMed
description Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information sharing. The main drivers for implementing effective healthcare systems are low latency and faster response times. Thus, quick responses among healthcare organizations are important in general, but in an emergency, significant latency at different stakeholders might result in disastrous situations. Thus, cutting-edge approaches like edge computing and artificial intelligence (AI) can deal with such problems. A packet cannot be sent from one location to another unless the “quality of service” (QoS) specifications are met. The term QoS refers to how well a service works for users. QoS parameters like throughput, bandwidth, transmission delay, availability, jitter, latency, and packet loss are crucial in this regard. Our focus is on the individual devices present at different levels of the smart healthcare infrastructure and the QoS requirements of the healthcare system as a whole. The contribution of this paper is five-fold: first, a novel pre-SLR method for comprehensive keyword research on subject-related themes for mining pertinent research papers for quality SLR; second, SLR on QoS improvement in smart healthcare apps; third a review of several QoS techniques used in current smart healthcare apps; fourth, the examination of the most important QoS measures in contemporary smart healthcare apps; fifth, offering solutions to the problems encountered in delivering QoS in smart healthcare IoT applications to improve healthcare services.
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spelling pubmed-106503882023-11-01 Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review Younas, Muhammad Irfan Iqbal, Muhammad Jawed Aziz, Abdul Sodhro, Ali Hassan Sensors (Basel) Review Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information sharing. The main drivers for implementing effective healthcare systems are low latency and faster response times. Thus, quick responses among healthcare organizations are important in general, but in an emergency, significant latency at different stakeholders might result in disastrous situations. Thus, cutting-edge approaches like edge computing and artificial intelligence (AI) can deal with such problems. A packet cannot be sent from one location to another unless the “quality of service” (QoS) specifications are met. The term QoS refers to how well a service works for users. QoS parameters like throughput, bandwidth, transmission delay, availability, jitter, latency, and packet loss are crucial in this regard. Our focus is on the individual devices present at different levels of the smart healthcare infrastructure and the QoS requirements of the healthcare system as a whole. The contribution of this paper is five-fold: first, a novel pre-SLR method for comprehensive keyword research on subject-related themes for mining pertinent research papers for quality SLR; second, SLR on QoS improvement in smart healthcare apps; third a review of several QoS techniques used in current smart healthcare apps; fourth, the examination of the most important QoS measures in contemporary smart healthcare apps; fifth, offering solutions to the problems encountered in delivering QoS in smart healthcare IoT applications to improve healthcare services. MDPI 2023-11-01 /pmc/articles/PMC10650388/ /pubmed/37960584 http://dx.doi.org/10.3390/s23218885 Text en © 2023 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 Review
Younas, Muhammad Irfan
Iqbal, Muhammad Jawed
Aziz, Abdul
Sodhro, Ali Hassan
Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review
title Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review
title_full Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review
title_fullStr Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review
title_full_unstemmed Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review
title_short Toward QoS Monitoring in IoT Edge Devices Driven Healthcare—A Systematic Literature Review
title_sort toward qos monitoring in iot edge devices driven healthcare—a systematic literature review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650388/
https://www.ncbi.nlm.nih.gov/pubmed/37960584
http://dx.doi.org/10.3390/s23218885
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