Designing a Semantic Digital Twin model for IoT

Abstract

Today there is exponential growth and convergence in technologies like the Internet of Things (IoT), machine learning, and other forms of Artificial Intelligence leveraging the way we collect and analyze data from smart sensors. A Digital Twin (DT) Technology is the creation of the virtual replicas of physical IoT devices that helps to monitor the applications, analyze data collected, and predict future behavior and performance of devices. In this paper, we propose a semantic DT based IoT model with support at the edge with container technology to mimic the IoT devices and enhance the interoperability of the heterogeneous IoT devices.