Cargando…
Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks
As the enterprise of the “Internet of Things” is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increas...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4859479/ https://www.ncbi.nlm.nih.gov/pubmed/27152423 http://dx.doi.org/10.1371/journal.pone.0155077 |
_version_ | 1782430969361334272 |
---|---|
author | Hindia, M. N. Rahman, T. A. Ojukwu, H. Hanafi, E. B. Fattouh, A. |
author_facet | Hindia, M. N. Rahman, T. A. Ojukwu, H. Hanafi, E. B. Fattouh, A. |
author_sort | Hindia, M. N. |
collection | PubMed |
description | As the enterprise of the “Internet of Things” is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application’s priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness. |
format | Online Article Text |
id | pubmed-4859479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48594792016-05-13 Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks Hindia, M. N. Rahman, T. A. Ojukwu, H. Hanafi, E. B. Fattouh, A. PLoS One Research Article As the enterprise of the “Internet of Things” is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application’s priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness. Public Library of Science 2016-05-06 /pmc/articles/PMC4859479/ /pubmed/27152423 http://dx.doi.org/10.1371/journal.pone.0155077 Text en © 2016 Hindia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hindia, M. N. Rahman, T. A. Ojukwu, H. Hanafi, E. B. Fattouh, A. Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks |
title | Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks |
title_full | Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks |
title_fullStr | Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks |
title_full_unstemmed | Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks |
title_short | Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks |
title_sort | enabling remote health-caring utilizing iot concept over lte-femtocell networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4859479/ https://www.ncbi.nlm.nih.gov/pubmed/27152423 http://dx.doi.org/10.1371/journal.pone.0155077 |
work_keys_str_mv | AT hindiamn enablingremotehealthcaringutilizingiotconceptoverltefemtocellnetworks AT rahmanta enablingremotehealthcaringutilizingiotconceptoverltefemtocellnetworks AT ojukwuh enablingremotehealthcaringutilizingiotconceptoverltefemtocellnetworks AT hanafieb enablingremotehealthcaringutilizingiotconceptoverltefemtocellnetworks AT fattouha enablingremotehealthcaringutilizingiotconceptoverltefemtocellnetworks |