IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review
Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/13/8/218 |
| _version_ | 1797523794539053056 |
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| author | Taher M. Ghazal Mohammad Kamrul Hasan Muhammad Turki Alshurideh Haitham M. Alzoubi Munir Ahmad Syed Shehryar Akbar Barween Al Kurdi Iman A. Akour |
| author_facet | Taher M. Ghazal Mohammad Kamrul Hasan Muhammad Turki Alshurideh Haitham M. Alzoubi Munir Ahmad Syed Shehryar Akbar Barween Al Kurdi Iman A. Akour |
| author_sort | Taher M. Ghazal |
| collection | DOAJ |
| description | Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in politics, business, administration and urban planning since the 2000s to establish tech-based changes and innovations in urban areas. The idea of the smart city is used in conjunction with the utilization of digital technologies and at the same time represents a reaction to the economic, social and political challenges that post-industrial societies are confronted with at the start of the new millennium. The key focus is on dealing with challenges faced by urban society, such as environmental pollution, demographic change, population growth, healthcare, the financial crisis or scarcity of resources. In a broader sense, the term also includes non-technical innovations that make urban life more sustainable. So far, the idea of using IoT-based sensor networks for healthcare applications is a promising one with the potential of minimizing inefficiencies in the existing infrastructure. A machine learning approach is key to successful implementation of the IoT-powered wireless sensor networks for this purpose since there is large amount of data to be handled intelligently. Throughout this paper, it will be discussed in detail how AI-powered IoT and WSNs are applied in the healthcare sector. This research will be a baseline study for understanding the role of the IoT in smart cities, in particular in the healthcare sector, for future research works. |
| first_indexed | 2024-03-10T08:48:07Z |
| format | Article |
| id | doaj.art-c692a109770e4fa6a56fb477decd0d1a |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T08:48:07Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-c692a109770e4fa6a56fb477decd0d1a2023-11-22T07:44:33ZengMDPI AGFuture Internet1999-59032021-08-0113821810.3390/fi13080218IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A ReviewTaher M. Ghazal0Mohammad Kamrul Hasan1Muhammad Turki Alshurideh2Haitham M. Alzoubi3Munir Ahmad4Syed Shehryar Akbar5Barween Al Kurdi6Iman A. Akour7Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebansaan Malaysia (UKM), Bangi 43600, Selangor, MalaysiaCenter for Cyber Security, Faculty of Information Science and Technology, Universiti Kebansaan Malaysia (UKM), Bangi 43600, Selangor, MalaysiaDepartment of Marketing, School of Business, The University of Jordan, Amman 11942, JordanSchool of Business, Skyline University College, Sharjah 1797, United Arab EmiratesSchool of Computer Science, National College of Business Administration & Economics, Lahore 54000, PakistanSchool of Computer Science, National College of Business Administration & Economics, Lahore 54000, PakistanDepartment of Business Administration, Faculty of Economics and Administrative Sciences, The Hashemite University, Zarqa 13115, JordanDepartment of Information Systems, College of Computing and Informatics, University of Sharjah, Sharjah 27272, United Arab EmiratesSmart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in politics, business, administration and urban planning since the 2000s to establish tech-based changes and innovations in urban areas. The idea of the smart city is used in conjunction with the utilization of digital technologies and at the same time represents a reaction to the economic, social and political challenges that post-industrial societies are confronted with at the start of the new millennium. The key focus is on dealing with challenges faced by urban society, such as environmental pollution, demographic change, population growth, healthcare, the financial crisis or scarcity of resources. In a broader sense, the term also includes non-technical innovations that make urban life more sustainable. So far, the idea of using IoT-based sensor networks for healthcare applications is a promising one with the potential of minimizing inefficiencies in the existing infrastructure. A machine learning approach is key to successful implementation of the IoT-powered wireless sensor networks for this purpose since there is large amount of data to be handled intelligently. Throughout this paper, it will be discussed in detail how AI-powered IoT and WSNs are applied in the healthcare sector. This research will be a baseline study for understanding the role of the IoT in smart cities, in particular in the healthcare sector, for future research works.https://www.mdpi.com/1999-5903/13/8/218smart citiesIoTmachine learningsensor networksartificial intelligencehealthcare |
| spellingShingle | Taher M. Ghazal Mohammad Kamrul Hasan Muhammad Turki Alshurideh Haitham M. Alzoubi Munir Ahmad Syed Shehryar Akbar Barween Al Kurdi Iman A. Akour IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review Future Internet smart cities IoT machine learning sensor networks artificial intelligence healthcare |
| title | IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review |
| title_full | IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review |
| title_fullStr | IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review |
| title_full_unstemmed | IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review |
| title_short | IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review |
| title_sort | iot for smart cities machine learning approaches in smart healthcare a review |
| topic | smart cities IoT machine learning sensor networks artificial intelligence healthcare |
| url | https://www.mdpi.com/1999-5903/13/8/218 |
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