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A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks
Piotr Cofta1, Kostas Karatzas2, Cezary Orłowski3
1Faculty of Telecommunications, Computer Science and Technology, UTP University of Science and Technology, 85-796 Bydgoszcz, Poland.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
The uncertainty of inexpensive Internet of Things (IoT) sensor networks impacts their reliability and usefulness. This paper proposes a model to improve how we understand and manage IoT sensor network uncertainty.
Area of Science:
- Computer Science
- Engineering
- Information Science
Background:
- The widespread adoption of inexpensive Internet of Things (IoT) sensor networks is increasing.
- The uncertainty associated with these networks affects their suitability, perceived quality, and data utility.
- Current theories and industrial practices lack a unified approach to address the uncertainty in IoT sensor networks and their components.
Purpose of the Study:
- To facilitate discussion on advancing the theory and practice of uncertainty management for IoT sensor networks.
- To provide a structured overview of uncertainty specifically within the context of IoT sensor networks.
- To identify key challenges hindering the improvement of uncertainty theory and practice in this domain.
Main Methods:
- Positioning IoT sensor networks in contrast to professional measurement and control networks.
- Presenting a conceptual sociotechnical reference model for IoT sensor networks.
- Developing a taxonomy of uncertainty that highlights semantic differences in various viewpoints.
Main Results:
- The proposed reference model offers a framework for understanding uncertainty in IoT sensor networks.
- The developed taxonomy clarifies different perspectives on uncertainty within these networks.
- Key challenges for improving uncertainty management in IoT sensor networks are identified.
Conclusions:
- Addressing the uncertainty in IoT sensor networks is crucial for their effective adoption and reliable data provision.
- The conceptual sociotechnical reference model and uncertainty taxonomy provide a foundation for future research and development.
- Further work is needed to bridge the gap between theoretical understanding and practical application of uncertainty management in IoT sensor networks.
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