| Title |
Quantitative and Qualitative Analysis of Internet of Things (IoT) in Smart Cities and its Applications |
| ID_Doc |
43391 |
| Authors |
Haghshenas, SS; Guido, G; Vitale, A; Ghoushchi, SJ |
| Title |
Quantitative and Qualitative Analysis of Internet of Things (IoT) in Smart Cities and its Applications |
| Year |
2022 |
| Published |
|
| DOI |
10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927793 |
| Abstract |
The growing number of people living in cities, the number of cars, and the growth of cities have caused a lot of complicated problems that are linked to each other. Only a methodical strategy will be able to address these issues. The creation of smart cities is one of the new ideas to handle the current challenges of cities. An important aspect of the Internet of Things (IoT) is the implementation of smart city initiatives. The IoT is a relatively new idea in wireless communication, yet it is expanding rapidly. Incorporating wireless sensors and Internet connectivity endows everyday things with digital intelligence. Real-time data can be used to communicate between items without the need for human interaction. The IoT framework aims to connect and intelligently improve systems and networks in order to make smart city projects work better. The literature review demonstrates that IoT has been extensively employed in a variety of smart cities projects in recent years because of its great efficiency. As a result, the primary aim of this research is to examine the applications of IoT in smart cities, a key research area in the engineering and academic sectors. For this purpose, smart city articles from 2012 to 2022 are analyzed. In addition, the Web of Science (WOS) platform is used to conduct two types of research: qualitative studies and quantitative studies. The analytical results of this study show that the IoT can be used as a powerful tool to solve and manage many complicated problems in smart city projects. |
| Author Keywords |
Smart cities; IoT; literature review; WOS; Digital intelligence |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000948109800131 |
| WoS Category |
Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Automation & Control Systems; Computer Science; Engineering |
| PDF |
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