Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region

This paper investigates the feasibility of using boats as data mule nodes, carrying medical ultrasound videos from remote and isolated communities in the Amazon region in Brazil, to the main city of that area. The videos will be used by physicians to perform remote analysis and follow-up routine of...

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Detalles Bibliográficos
Autores principales: Coutinho, Mauro Margalho, Efrat, Alon, Johnson, Thienne, Richa, Andrea, Liu, Mengxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897081/
https://www.ncbi.nlm.nih.gov/pubmed/27433519
http://dx.doi.org/10.1155/2014/730760
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author Coutinho, Mauro Margalho
Efrat, Alon
Johnson, Thienne
Richa, Andrea
Liu, Mengxue
author_facet Coutinho, Mauro Margalho
Efrat, Alon
Johnson, Thienne
Richa, Andrea
Liu, Mengxue
author_sort Coutinho, Mauro Margalho
collection PubMed
description This paper investigates the feasibility of using boats as data mule nodes, carrying medical ultrasound videos from remote and isolated communities in the Amazon region in Brazil, to the main city of that area. The videos will be used by physicians to perform remote analysis and follow-up routine of prenatal examinations of pregnant women. Two open source simulators (the ONE and NS-2) were used to evaluate the results obtained utilizing a CoDPON (continuous displacement plan oriented network). The simulations took into account the connection times between the network nodes (boats) and the number of nodes on each boat route.
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spelling pubmed-48970812016-07-18 Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region Coutinho, Mauro Margalho Efrat, Alon Johnson, Thienne Richa, Andrea Liu, Mengxue Int Sch Res Notices Research Article This paper investigates the feasibility of using boats as data mule nodes, carrying medical ultrasound videos from remote and isolated communities in the Amazon region in Brazil, to the main city of that area. The videos will be used by physicians to perform remote analysis and follow-up routine of prenatal examinations of pregnant women. Two open source simulators (the ONE and NS-2) were used to evaluate the results obtained utilizing a CoDPON (continuous displacement plan oriented network). The simulations took into account the connection times between the network nodes (boats) and the number of nodes on each boat route. Hindawi Publishing Corporation 2014-10-29 /pmc/articles/PMC4897081/ /pubmed/27433519 http://dx.doi.org/10.1155/2014/730760 Text en Copyright © 2014 Mauro Margalho Coutinho et al. https://creativecommons.org/licenses/by/3.0/ 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
Coutinho, Mauro Margalho
Efrat, Alon
Johnson, Thienne
Richa, Andrea
Liu, Mengxue
Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region
title Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region
title_full Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region
title_fullStr Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region
title_full_unstemmed Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region
title_short Healthcare Supported by Data Mule Networks in Remote Communities of the Amazon Region
title_sort healthcare supported by data mule networks in remote communities of the amazon region
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4897081/
https://www.ncbi.nlm.nih.gov/pubmed/27433519
http://dx.doi.org/10.1155/2014/730760
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