A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial...

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Main Authors: Samad Sepasgozar, Reyhaneh Karimi, Leila Farahzadi, Farimah Moezzi, Sara Shirowzhan, Sanee M. Ebrahimzadeh, Felix Hui, Lu Aye
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/9/3074
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spelling doaj-0731c8aa0cd14de9a2a966585d5cae202020-11-25T02:26:29ZengMDPI AGApplied Sciences2076-34172020-04-01103074307410.3390/app10093074A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart HomeSamad Sepasgozar0Reyhaneh Karimi1Leila Farahzadi2Farimah Moezzi3Sara Shirowzhan4Sanee M. Ebrahimzadeh5Felix Hui6Lu Aye7Faculty of Built Environment, The University of New South Wales, Sydney, NSW 2052, AustraliaDepartment of Art and Architecture, The University of Science and Culture, Tehran 1461968151, IranYoung Researchers and Elite Club, North Tehran Branch, Islamic Azad University, Tehran 1651153311, IranSchool of Architecture and Planning, SBU, Tehran 1983969411, IranFaculty of Built Environment, The University of New South Wales, Sydney, NSW 2052, AustraliaThe Knowledge Enterprise Payesh Tajhiz Arad, Goran 1734533998, IranRenewable Energy and Energy Efficiency Group, Department of Infrastructure Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC 3010, AustraliaRenewable Energy and Energy Efficiency Group, Department of Infrastructure Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC 3010, AustraliaThis article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.https://www.mdpi.com/2076-3417/10/9/3074smartintelligentenergy efficiencyautomationinternet of thingsartificial intelligence
collection DOAJ
language English
format Article
sources DOAJ
author Samad Sepasgozar
Reyhaneh Karimi
Leila Farahzadi
Farimah Moezzi
Sara Shirowzhan
Sanee M. Ebrahimzadeh
Felix Hui
Lu Aye
spellingShingle Samad Sepasgozar
Reyhaneh Karimi
Leila Farahzadi
Farimah Moezzi
Sara Shirowzhan
Sanee M. Ebrahimzadeh
Felix Hui
Lu Aye
A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
Applied Sciences
smart
intelligent
energy efficiency
automation
internet of things
artificial intelligence
author_facet Samad Sepasgozar
Reyhaneh Karimi
Leila Farahzadi
Farimah Moezzi
Sara Shirowzhan
Sanee M. Ebrahimzadeh
Felix Hui
Lu Aye
author_sort Samad Sepasgozar
title A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
title_short A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
title_full A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
title_fullStr A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
title_full_unstemmed A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home
title_sort systematic content review of artificial intelligence and the internet of things applications in smart home
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-04-01
description This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.
topic smart
intelligent
energy efficiency
automation
internet of things
artificial intelligence
url https://www.mdpi.com/2076-3417/10/9/3074
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