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Internet of things for healthcare monitoring applications based on RFID clustering scheme
COVID-19 surprised the whole world by its quick and sudden spread. Coronavirus pushes all community sectors: government, industry, academia, and nonprofit organizations to take forward steps to stop and control this pandemic. It is evident that IT-based solutions are urgent. This study is a small st...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607371/ http://dx.doi.org/10.1007/s11276-020-02482-1 |
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author | Abuelkhail, Abdulrahman Baroudi, Uthman Raad, Muhammad Sheltami, Tarek |
author_facet | Abuelkhail, Abdulrahman Baroudi, Uthman Raad, Muhammad Sheltami, Tarek |
author_sort | Abuelkhail, Abdulrahman |
collection | PubMed |
description | COVID-19 surprised the whole world by its quick and sudden spread. Coronavirus pushes all community sectors: government, industry, academia, and nonprofit organizations to take forward steps to stop and control this pandemic. It is evident that IT-based solutions are urgent. This study is a small step in this direction, where health information is monitored and collected continuously. In this work, we build a network of smart nodes where each node comprises a Radio-Frequency Identification (RFID) tag, reduced function RFID reader (RFRR), and sensors. The smart nodes are grouped in clusters, which are constructed periodically. The RFRR reader of the clusterhead collects data from its members, and once it is close to the primary reader, it conveys its data and so on. This approach reduces the primary RFID reader’s burden by receiving data from the clusterheads only instead of reading every tag when they pass by its vicinity. Besides, this mechanism reduces the channel access congestion; thus, it reduces the interference significantly. Furthermore, to protect the exchanged data from potential attacks, two levels of security algorithms, including an AES 128 bit with hashing, have been implemented. The proposed scheme has been validated via mathematical modeling using Integer programming, simulation, and prototype experimentation. The proposed technique shows low data delivery losses and a significant drop in transmission delay compared to contemporary approaches. |
format | Online Article Text |
id | pubmed-7607371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76073712020-11-03 Internet of things for healthcare monitoring applications based on RFID clustering scheme Abuelkhail, Abdulrahman Baroudi, Uthman Raad, Muhammad Sheltami, Tarek Wireless Netw Article COVID-19 surprised the whole world by its quick and sudden spread. Coronavirus pushes all community sectors: government, industry, academia, and nonprofit organizations to take forward steps to stop and control this pandemic. It is evident that IT-based solutions are urgent. This study is a small step in this direction, where health information is monitored and collected continuously. In this work, we build a network of smart nodes where each node comprises a Radio-Frequency Identification (RFID) tag, reduced function RFID reader (RFRR), and sensors. The smart nodes are grouped in clusters, which are constructed periodically. The RFRR reader of the clusterhead collects data from its members, and once it is close to the primary reader, it conveys its data and so on. This approach reduces the primary RFID reader’s burden by receiving data from the clusterheads only instead of reading every tag when they pass by its vicinity. Besides, this mechanism reduces the channel access congestion; thus, it reduces the interference significantly. Furthermore, to protect the exchanged data from potential attacks, two levels of security algorithms, including an AES 128 bit with hashing, have been implemented. The proposed scheme has been validated via mathematical modeling using Integer programming, simulation, and prototype experimentation. The proposed technique shows low data delivery losses and a significant drop in transmission delay compared to contemporary approaches. Springer US 2020-11-03 2021 /pmc/articles/PMC7607371/ http://dx.doi.org/10.1007/s11276-020-02482-1 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Abuelkhail, Abdulrahman Baroudi, Uthman Raad, Muhammad Sheltami, Tarek Internet of things for healthcare monitoring applications based on RFID clustering scheme |
title | Internet of things for healthcare monitoring applications based on RFID clustering scheme |
title_full | Internet of things for healthcare monitoring applications based on RFID clustering scheme |
title_fullStr | Internet of things for healthcare monitoring applications based on RFID clustering scheme |
title_full_unstemmed | Internet of things for healthcare monitoring applications based on RFID clustering scheme |
title_short | Internet of things for healthcare monitoring applications based on RFID clustering scheme |
title_sort | internet of things for healthcare monitoring applications based on rfid clustering scheme |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7607371/ http://dx.doi.org/10.1007/s11276-020-02482-1 |
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