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.

The cutting-edge technology, namely Cloud of Things (CoT) has shaped the existing business process into a new orientation in terms of performance, usability, and reliability. Among different business processes, online education is one of the prime areas where CoT can be used to make it more agile in the context of performance and usability. In this endeavor, a novel methodology has been proposed for an online higher education framework based on CoT. The proposed framework is made agile using Service Oriented Architecture (SOA). Furthermore, in order to make the proposed framework more reliable, a Zero Knowledge Proof (ZKPF) system has been introduced here. The proposed ZKPF algorithm is based on the Hadamard matrix. Experimental results have shown to lay bare the effectiveness of the proposed algorithms.

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