A theme of smart cities based on IoT, fuzzy logic, and quantumdeep learning technique

Abstract

In the near future the human civilization would converge to urban places. Hence, tomorrows' cities would be highly dense. Thus in the future, it would be great challenges to provide efficient services to citizens. In this context, this manuscript has proposed an efficient architecture of different applications of smart cities using the Internet of Things (IoT), Fuzzy Logic. Moreover, an efficient architecture based on service-oriented architecture(SOA) has been proposed here. Furthermore, an integrated intelligent smart city services framework has been proposed here which can forecast different activities based on the Quantum Deep Learning concept. Simulated results have been shown to lay bare the effectiveness of the proposed approach.