Abstract
IoT systems are becoming part important component in civil and industrial infrastructure. With the growth of these IoT ecosystems, their complexity is increasing exponentially. In this paper we explore a problem of testing and evaluating large scale IoT systems at design time, by providing simulated sensor data with physical and geographical characteristics of real sensors. We propose a simulation environment that is capable of generating big data from cyber-physical models and real-world data. To the best of our knowledge it is a first approach that uses hybrid integration between real and simulated sensor data, that is also capable of being integrated into existing IoT systems. It is a cloud based Infrastructure-as-a-Service (IaaS) system that enables users to test both functionality and scalability of their IoT applications.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 45th IEEE Annual Conference of the Industrial Electronics Society (IECON), Lisbon, Portugal, October 14-17, 2019 |
| Number of pages | 10 |
| Publication status | Published - 2019 |
Fields of science
- 202005 Computer architecture
- 202017 Embedded systems
- 102 Computer Sciences
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102015 Information systems
- 102020 Medical informatics
- 102022 Software development
- 102034 Cyber-physical systems
- 201132 Computational engineering
- 201305 Traffic engineering
- 207409 Navigation systems
- 502032 Quality management
- 502050 Business informatics
JKU Focus areas
- Digital Transformation