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SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT
Internet of things (IoT) application in e-health can play a vital role in countering rapidly spreading diseases that can effectively manage health emergency scenarios like pandemics. Efficient disease control also requires monitoring of Standard operating procedure (SOP) follow-up of the population...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186343/ https://www.ncbi.nlm.nih.gov/pubmed/35702568 http://dx.doi.org/10.1016/j.inffus.2021.03.005 |
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author | Khan, Muhammad Toaha Raza Saad, Malik Muhammad Tariq, Muhammad Ashar Akram, Junaid Kim, Dongkyun |
author_facet | Khan, Muhammad Toaha Raza Saad, Malik Muhammad Tariq, Muhammad Ashar Akram, Junaid Kim, Dongkyun |
author_sort | Khan, Muhammad Toaha Raza |
collection | PubMed |
description | Internet of things (IoT) application in e-health can play a vital role in countering rapidly spreading diseases that can effectively manage health emergency scenarios like pandemics. Efficient disease control also requires monitoring of Standard operating procedure (SOP) follow-up of the population in the disease-prone area with a cost-effective reporting and responding mechanism to register any violation. However, the IoT devices have limited resources and the application requires delay-sensitive data transmission. Named Data Networking (NDN) can significantly reduce content retrieval delays but inherits cache overflow and network congestion challenges. Therefore, we are motivated to present a novel smart COVID-19 pandemic-controlled eradication over NDN-IoT (SPICE-IT) mechanism. SPICE-IT introduces autonomous monitoring in indoor environments with efficient pull-based reporting mechanism that records violations at local servers and cloud server. Intelligent face mask detection and temperature monitoring mechanism examines every person. Cloud server controls the response action from the centre with an adaptive decision-making mechanism. Long short-term memory (LSTM) based caching mechanism reduces the cache overflow and overall network congestion problem. |
format | Online Article Text |
id | pubmed-9186343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91863432022-06-10 SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT Khan, Muhammad Toaha Raza Saad, Malik Muhammad Tariq, Muhammad Ashar Akram, Junaid Kim, Dongkyun Inf Fusion Article Internet of things (IoT) application in e-health can play a vital role in countering rapidly spreading diseases that can effectively manage health emergency scenarios like pandemics. Efficient disease control also requires monitoring of Standard operating procedure (SOP) follow-up of the population in the disease-prone area with a cost-effective reporting and responding mechanism to register any violation. However, the IoT devices have limited resources and the application requires delay-sensitive data transmission. Named Data Networking (NDN) can significantly reduce content retrieval delays but inherits cache overflow and network congestion challenges. Therefore, we are motivated to present a novel smart COVID-19 pandemic-controlled eradication over NDN-IoT (SPICE-IT) mechanism. SPICE-IT introduces autonomous monitoring in indoor environments with efficient pull-based reporting mechanism that records violations at local servers and cloud server. Intelligent face mask detection and temperature monitoring mechanism examines every person. Cloud server controls the response action from the centre with an adaptive decision-making mechanism. Long short-term memory (LSTM) based caching mechanism reduces the cache overflow and overall network congestion problem. Elsevier B.V. 2021-10 2021-03-27 /pmc/articles/PMC9186343/ /pubmed/35702568 http://dx.doi.org/10.1016/j.inffus.2021.03.005 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Khan, Muhammad Toaha Raza Saad, Malik Muhammad Tariq, Muhammad Ashar Akram, Junaid Kim, Dongkyun SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT |
title | SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT |
title_full | SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT |
title_fullStr | SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT |
title_full_unstemmed | SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT |
title_short | SPICE-IT: Smart COVID-19 pandemic controlled eradication over NDN-IoT |
title_sort | spice-it: smart covid-19 pandemic controlled eradication over ndn-iot |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186343/ https://www.ncbi.nlm.nih.gov/pubmed/35702568 http://dx.doi.org/10.1016/j.inffus.2021.03.005 |
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