| Abstract |
With the advent of mobile technology, the modern paradigm of "connected everyday objects" was built over the current network. The tremendous development of networked devices had increased its reach over the primitive network topologies. This significant change has launched the revolution after flat-page. The surge in the global urban population is placing new demands on people's daily lives in terms of pollution, public safety, road congestion, etc. To accommodate this rapid growth, new technologies are being developed and smarter cities are being built. Incorporating the Internet of Things (IoT) into everyday life makes it possible to develop new smart solutions such as services and applications for industries like hospitals, surveillance, forestry, etc. Research on Artificial Intelligence (AI), Deep Learning (DL), and help of Data Visualization have shown how IoT performance can be improved with some technological aids. This creates a rapid demand for addition and works in terms of Big Data with first-class technologies that we have around us, so in this paper, we will talk about such things and show a comparison on this basis with the other works that are under it, with the deep learning and artificial intelligence models. This study will help us to show how it overall contributes to the growth of the Internet of Things in society to provide a better life for future generations. Finally, we will outline the existing obstacles and problems that occur during the smart city growth facilities. |