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Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System
In this paper, we propose a hospital sensor network deployment method for smart healthcare systems. Since sensor nodes in hospitals are always in an environment where power can be supplied, it is essential to have stable network connectivity by achieving optimal gateway deployment, rather than focus...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401927/ https://www.ncbi.nlm.nih.gov/pubmed/34450956 http://dx.doi.org/10.3390/s21165514 |
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author | Jang, Yoonkyung Ryoo, Intae Kim, Seokhoon |
author_facet | Jang, Yoonkyung Ryoo, Intae Kim, Seokhoon |
author_sort | Jang, Yoonkyung |
collection | PubMed |
description | In this paper, we propose a hospital sensor network deployment method for smart healthcare systems. Since sensor nodes in hospitals are always in an environment where power can be supplied, it is essential to have stable network connectivity by achieving optimal gateway deployment, rather than focusing on energy efficiency. The proposed technique leads to an access point (AP) layout that minimizes the overall network operation cost. The operation cost is calculated per unit time, and it includes installation cost and maintenance cost. In addition, group numbers are assigned to sensor nodes for guaranteeing network connectivity, no matter where the mobile sensor devices move. The performance of the proposed methodology has been verified through numerical experiments. |
format | Online Article Text |
id | pubmed-8401927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84019272021-08-29 Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System Jang, Yoonkyung Ryoo, Intae Kim, Seokhoon Sensors (Basel) Article In this paper, we propose a hospital sensor network deployment method for smart healthcare systems. Since sensor nodes in hospitals are always in an environment where power can be supplied, it is essential to have stable network connectivity by achieving optimal gateway deployment, rather than focusing on energy efficiency. The proposed technique leads to an access point (AP) layout that minimizes the overall network operation cost. The operation cost is calculated per unit time, and it includes installation cost and maintenance cost. In addition, group numbers are assigned to sensor nodes for guaranteeing network connectivity, no matter where the mobile sensor devices move. The performance of the proposed methodology has been verified through numerical experiments. MDPI 2021-08-17 /pmc/articles/PMC8401927/ /pubmed/34450956 http://dx.doi.org/10.3390/s21165514 Text en © 2021 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 | Article Jang, Yoonkyung Ryoo, Intae Kim, Seokhoon Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System |
title | Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System |
title_full | Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System |
title_fullStr | Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System |
title_full_unstemmed | Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System |
title_short | Smart Hospital Sensor Network Deployment for Mobile and Remote Healthcare System |
title_sort | smart hospital sensor network deployment for mobile and remote healthcare system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401927/ https://www.ncbi.nlm.nih.gov/pubmed/34450956 http://dx.doi.org/10.3390/s21165514 |
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