ASC Performance Prediction for Medical IoT Communication Networks

Wearable devices are gradually entering the medical health field. Medical Internet of Things (IoT) has been widely used in all walks of medical health. With the complexity of medical health application scenarios, the medical IoT communication networks face complex environments. The secure communicat...

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Detalles Bibliográficos
Autores principales: Yin, Fagen, Xiao, Pingping, Li, Zefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178003/
https://www.ncbi.nlm.nih.gov/pubmed/34136110
http://dx.doi.org/10.1155/2021/6265520
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author Yin, Fagen
Xiao, Pingping
Li, Zefeng
author_facet Yin, Fagen
Xiao, Pingping
Li, Zefeng
author_sort Yin, Fagen
collection PubMed
description Wearable devices are gradually entering the medical health field. Medical Internet of Things (IoT) has been widely used in all walks of medical health. With the complexity of medical health application scenarios, the medical IoT communication networks face complex environments. The secure communication issue is very important for medical IoT communication networks. This paper investigates the secrecy performance of medical IoT communication networks. To improve the secrecy performance, we adopt a cooperative communication strategy. We also use the average secrecy capacity (ASC) as a metric, and the expressions are first derived. Then, a secrecy performance intelligent prediction algorithm is proposed. The extensive simulations are used to verify the proposed method. Compared with other methods, the proposed algorithm realizes a better prediction precision.
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spelling pubmed-81780032021-06-15 ASC Performance Prediction for Medical IoT Communication Networks Yin, Fagen Xiao, Pingping Li, Zefeng J Healthc Eng Research Article Wearable devices are gradually entering the medical health field. Medical Internet of Things (IoT) has been widely used in all walks of medical health. With the complexity of medical health application scenarios, the medical IoT communication networks face complex environments. The secure communication issue is very important for medical IoT communication networks. This paper investigates the secrecy performance of medical IoT communication networks. To improve the secrecy performance, we adopt a cooperative communication strategy. We also use the average secrecy capacity (ASC) as a metric, and the expressions are first derived. Then, a secrecy performance intelligent prediction algorithm is proposed. The extensive simulations are used to verify the proposed method. Compared with other methods, the proposed algorithm realizes a better prediction precision. Hindawi 2021-05-27 /pmc/articles/PMC8178003/ /pubmed/34136110 http://dx.doi.org/10.1155/2021/6265520 Text en Copyright © 2021 Fagen Yin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yin, Fagen
Xiao, Pingping
Li, Zefeng
ASC Performance Prediction for Medical IoT Communication Networks
title ASC Performance Prediction for Medical IoT Communication Networks
title_full ASC Performance Prediction for Medical IoT Communication Networks
title_fullStr ASC Performance Prediction for Medical IoT Communication Networks
title_full_unstemmed ASC Performance Prediction for Medical IoT Communication Networks
title_short ASC Performance Prediction for Medical IoT Communication Networks
title_sort asc performance prediction for medical iot communication networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178003/
https://www.ncbi.nlm.nih.gov/pubmed/34136110
http://dx.doi.org/10.1155/2021/6265520
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