Designing a Semantic Digital Twin model for IoT
| Autor: | Heedong Ko, Byounghyun Yoo, Shapna Muralidharan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Distributed computing 010401 analytical chemistry Interoperability 020206 networking & telecommunications 02 engineering and technology 01 natural sciences 0104 chemical sciences Container (abstract data type) 0202 electrical engineering electronic engineering information engineering Enhanced Data Rates for GSM Evolution Internet of Things business |
| Zdroj: | ICCE |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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