Designing a semantic digital twin model for IoT

Authors
Muralidharan, S.Yoo, B.Ko, H.
Issue Date
2020-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2020 IEEE International Conference on Consumer Electronics, ICCE 2020
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. ? 2020 IEEE.
ISSN
0747-668X
URI
https://pubs.kist.re.kr/handle/201004/77961
DOI
10.1109/ICCE46568.2020.9043088
Appears in Collections:
KIST Conference Paper > 2020
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