Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment
Abstract This paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban ser...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-023-01175-4 |
| _version_ | 1827325303425335296 |
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| author | Amin Ullah Syed Myhammad Anwar Jianqiang Li Lubna Nadeem Tariq Mahmood Amjad Rehman Tanzila Saba |
| author_facet | Amin Ullah Syed Myhammad Anwar Jianqiang Li Lubna Nadeem Tariq Mahmood Amjad Rehman Tanzila Saba |
| author_sort | Amin Ullah |
| collection | DOAJ |
| description | Abstract This paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban services. IoT and machine learning have emerged as key technologies for enabling smart city solutions that rely on large-scale data collection, analysis, and decision-making. This paper presents an overview of smart cities’ various applications and discusses the challenges associated with implementing IoT and machine learning in urban environments. The paper also compares different case studies of successful smart city implementations utilizing IoT and machine learning technologies. The findings suggest that these technologies have the potential to transform urban environments and enable the creation of more livable, sustainable, and efficient cities. However, significant challenges remain regarding data privacy, security, and ethical considerations, which must be addressed to realize the full potential of smart cities. |
| first_indexed | 2024-03-07T14:25:12Z |
| format | Article |
| id | doaj.art-691a9e64c8b84188b5e468da53a558b8 |
| institution | Directory Open Access Journal |
| issn | 2199-4536 2198-6053 |
| language | English |
| last_indexed | 2024-03-07T14:25:12Z |
| publishDate | 2023-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj.art-691a9e64c8b84188b5e468da53a558b82024-03-06T08:07:02ZengSpringerComplex & Intelligent Systems2199-45362198-60532023-07-011011607163710.1007/s40747-023-01175-4Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environmentAmin Ullah0Syed Myhammad Anwar1Jianqiang Li2Lubna Nadeem3Tariq Mahmood4Amjad Rehman5Tanzila Saba6Faculty of Information Technology, Beijing University of TechnologyShaikh Zayed institute, Children’s National HospitalFaculty of Information Technology, Beijing University of TechnologyDepartment of Telecommunication Engineering, University of Engineering and Technology TaxilaArtificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan UniversityArtificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan UniversityArtificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan UniversityAbstract This paper explores the concept of smart cities and the role of the Internet of Things (IoT) and machine learning (ML) in realizing a data-centric smart environment. Smart cities leverage technology and data to improve the quality of life for citizens and enhance the efficiency of urban services. IoT and machine learning have emerged as key technologies for enabling smart city solutions that rely on large-scale data collection, analysis, and decision-making. This paper presents an overview of smart cities’ various applications and discusses the challenges associated with implementing IoT and machine learning in urban environments. The paper also compares different case studies of successful smart city implementations utilizing IoT and machine learning technologies. The findings suggest that these technologies have the potential to transform urban environments and enable the creation of more livable, sustainable, and efficient cities. However, significant challenges remain regarding data privacy, security, and ethical considerations, which must be addressed to realize the full potential of smart cities.https://doi.org/10.1007/s40747-023-01175-4Smart citiesApplications of smart citiesInternet of Things (IoT)Data acquisition technologyWireless and mobile networkingDeep learning |
| spellingShingle | Amin Ullah Syed Myhammad Anwar Jianqiang Li Lubna Nadeem Tariq Mahmood Amjad Rehman Tanzila Saba Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment Complex & Intelligent Systems Smart cities Applications of smart cities Internet of Things (IoT) Data acquisition technology Wireless and mobile networking Deep learning |
| title | Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment |
| title_full | Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment |
| title_fullStr | Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment |
| title_full_unstemmed | Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment |
| title_short | Smart cities: the role of Internet of Things and machine learning in realizing a data-centric smart environment |
| title_sort | smart cities the role of internet of things and machine learning in realizing a data centric smart environment |
| topic | Smart cities Applications of smart cities Internet of Things (IoT) Data acquisition technology Wireless and mobile networking Deep learning |
| url | https://doi.org/10.1007/s40747-023-01175-4 |
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