Designing a Semantic Digital Twin model for IoT
Shapna Muralidharan, Byounghyun Yoo, Heedong Ko
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.
Topics & Concepts
Computer scienceInternet of ThingsInteroperabilityContainer (type theory)Semantic interoperabilityEnhanced Data Rates for GSM EvolutionSemantic technologyEdge deviceConvergence (economics)Distributed computingArtificial intelligenceMultimediaComputer architectureSemantic WebWorld Wide WebCloud computingSemantic computingOperating systemEconomicsMechanical engineeringEconomic growthEngineeringIoT and Edge/Fog ComputingDigital Transformation in IndustryBlockchain Technology Applications and Security