A Theme of Smart Cities Based on IOT, Fuzzy Logic and Quantum-Deep Learning Technique

Keywords: Internet Of Things, Smart City, Sensor Network, RFID

Abstract

In near future the human civilization would converge to urban places. Hence, tomorrows' cities would be highly dense. Thus in 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 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 Quantum Deep Learning concept.  Simulated results have been shown to lay bare the effectiveness of the proposed approach. 

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Published
2020-03-18
How to Cite
[1]
K. Mukherjee and R. Mandal, “A Theme of Smart Cities Based on IOT, Fuzzy Logic and Quantum-Deep Learning Technique”, IJISAE, vol. 8, no. 1, pp. 21-27, Mar. 2020.
Section
Research Article