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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...

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Autores principales: Marah, Bockarie Daniel, Jing, Zilong, Ma, Tinghuai, Alsabri, Raeed, Anaadumba, Raphael, Al-Dhelaan, Abdullah, Al-Dhelaan, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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.
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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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