Digital Twin and IoT for Smart City Monitoring

This study involves the integration of wireless technologies to enable the creation of digital twin representations for the purpose of monitoring smart cities. The analytical representations are created through the utilization of advanced technological resources, facilitating a comparison between the original values and reference values. Consequently, the time step index is accompanied by error measurements that have been reduced, in cases where a greater number of active messages are present, along with the creation of twins that are transmitted in a secure manner. The primary objective of digital twins within the context of smart cities is to enhance economic progress and facilitate prompt decision-making with respect to situational awareness. To this end, the Internet of Things (IoT) is leveraged for the purpose of monitoring and recording states. Furthermore, the integration of Constrained Application Protocol (CoAP) with digital twin serves to reduce the frequency of packet exchange and retransmission, thereby enhancing the success rate to 97%. The test results include a comparative analysis of five different scenarios, which demonstrate that the proposed method yields a reduction in the performance of inactive twins to less than 1% when compared to the existing approach.