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Smartphone Architecture for Edge-Centric IoT Analytics
The current baseline architectures in the field of the Internet of Things (IoT) strongly recommends the use of edge computing in the design of the solution applications instead of the traditional approach which solely uses the cloud/core for analysis and data storage. This research, therefore, focus...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039380/ https://www.ncbi.nlm.nih.gov/pubmed/32046133 http://dx.doi.org/10.3390/s20030892 |
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author | Marah, Bockarie Daniel Jing, Zilong Ma, Tinghuai Alsabri, Raeed Anaadumba, Raphael Al-Dhelaan, Abdullah Al-Dhelaan, Mohammed |
author_facet | Marah, Bockarie Daniel Jing, Zilong Ma, Tinghuai Alsabri, Raeed Anaadumba, Raphael Al-Dhelaan, Abdullah Al-Dhelaan, Mohammed |
author_sort | Marah, Bockarie Daniel |
collection | PubMed |
description | The current baseline architectures in the field of the Internet of Things (IoT) strongly recommends the use of edge computing in the design of the solution applications instead of the traditional approach which solely uses the cloud/core for analysis and data storage. This research, therefore, focuses on formulating an edge-centric IoT architecture for smartphones which are very popular electronic devices that are capable of executing complex computational tasks at the network edge. A novel smartphone IoT architecture (SMIoT) is introduced that supports data capture and preprocessing, model (i.e., machine learning models) deployment, model evaluation and model updating tasks. Moreover, a novel model evaluation and updating scheme is provided which ensures model validation in real-time. This ensures a sustainable and reliable model at the network edge that automatically adjusts to changes in the IoT data subspace. Finally, the proposed architecture is tested and evaluated using an IoT use case. |
format | Online Article Text |
id | pubmed-7039380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70393802020-03-09 Smartphone Architecture for Edge-Centric IoT Analytics Marah, Bockarie Daniel Jing, Zilong Ma, Tinghuai Alsabri, Raeed Anaadumba, Raphael Al-Dhelaan, Abdullah Al-Dhelaan, Mohammed Sensors (Basel) Article The current baseline architectures in the field of the Internet of Things (IoT) strongly recommends the use of edge computing in the design of the solution applications instead of the traditional approach which solely uses the cloud/core for analysis and data storage. This research, therefore, focuses on formulating an edge-centric IoT architecture for smartphones which are very popular electronic devices that are capable of executing complex computational tasks at the network edge. A novel smartphone IoT architecture (SMIoT) is introduced that supports data capture and preprocessing, model (i.e., machine learning models) deployment, model evaluation and model updating tasks. Moreover, a novel model evaluation and updating scheme is provided which ensures model validation in real-time. This ensures a sustainable and reliable model at the network edge that automatically adjusts to changes in the IoT data subspace. Finally, the proposed architecture is tested and evaluated using an IoT use case. MDPI 2020-02-07 /pmc/articles/PMC7039380/ /pubmed/32046133 http://dx.doi.org/10.3390/s20030892 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marah, Bockarie Daniel Jing, Zilong Ma, Tinghuai Alsabri, Raeed Anaadumba, Raphael Al-Dhelaan, Abdullah Al-Dhelaan, Mohammed Smartphone Architecture for Edge-Centric IoT Analytics |
title | Smartphone Architecture for Edge-Centric IoT Analytics |
title_full | Smartphone Architecture for Edge-Centric IoT Analytics |
title_fullStr | Smartphone Architecture for Edge-Centric IoT Analytics |
title_full_unstemmed | Smartphone Architecture for Edge-Centric IoT Analytics |
title_short | Smartphone Architecture for Edge-Centric IoT Analytics |
title_sort | smartphone architecture for edge-centric iot analytics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039380/ https://www.ncbi.nlm.nih.gov/pubmed/32046133 http://dx.doi.org/10.3390/s20030892 |
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