Application of Intelligent Computational Techniques in the Development of Smart Cities: An Approach Toward Sustainability

In other words, a smart city uses Information and Communication Technology (ICT) to better use and more efficiently consume limited resources like space, mobility, and energy. Existing research has been conducted on recent developments on Internet of Things (IoT)-based smart city applications; however, there is a need to deliver an innovative idea, such as IoT-embedded vision for smart cities focused on various systems such as noise and air pollution monitoring, web monitoring, and fire detection system design along with the implementation aspects towards smart waste bins, etc., which have not been addressed precisely in previous works. This thesis aims to design a system for Air and Noise Imprint Monitoring/Control, Speed Monitoring/Web Monitoring, Temperature/Weather Monitoring for IoT, as well Fire Detection System, to be implemented soon after the start-up of this entire project for Smart Waste Bin Management and geographical information system (GIS)-based smart city innovation with high-level digitized software that is convenient enough and fast in providing effective actions using IoT. Under the proposed system, each time we collect readings of a given parameter, it is moved into the risk area. The status of the factors has been detected by them, in real-time, and an analysis is conducted on the data collected from various sensors. The suggested work has been verified using the real-time case study.