Cofta Piotr, Karatzas Kostas, Orłowski Cezary
Faculty of Telecommunications, Computer Science and Technology, UTP University of Science and Technology, 85-796 Bydgoszcz, Poland.
Environmental Informatics Research Group, School of Mechanical Engineering, Aristotle University, 54124 Thessaloniki, Greece.
Sensors (Basel). 2021 Mar 5;21(5):1827. doi: 10.3390/s21051827.
The growing popularity of inexpensive IoT (Internet of Things) sensor networks makes their uncertainty an important aspect of their adoption. The uncertainty determines their fitness for purpose, their perceived quality and the usefulness of information they provide. Nevertheless, neither the theory nor the industrial practice of uncertainty offer a coherent answer on how to address uncertainty of networks of this type and their components. The primary objective of this paper is to facilitate the discussion of what progress should be made regarding the theory and the practice of uncertainty of IoT sensor networks to satisfy current needs. This paper provides a structured overview of uncertainty, specifically focusing on IoT sensor networks. It positions IoT sensor networks as contrasted with professional measurement and control networks and presents their conceptual sociotechnical reference model. The reference model advises on the taxonomy of uncertainty proposed in this paper that demonstrates semantic differences between various views on uncertainty. This model also allows for identifying key challenges that should be addressed to improve the theory and practice of uncertainty in IoT sensor networks.
廉价物联网（Internet of Things）传感器网络越来越受欢迎，这使得其不确定性成为采用这些网络的一个重要方面。不确定性决定了它们是否适合特定用途、人们对其质量的感知以及它们所提供信息的有用性。然而，无论是不确定性理论还是工业实践，都没有就如何处理这类网络及其组件的不确定性给出一个连贯的答案。本文的主要目标是促进关于在物联网传感器网络不确定性理论和实践方面应取得哪些进展以满足当前需求的讨论。本文提供了不确定性的结构化概述，特别关注物联网传感器网络。它将物联网传感器网络与专业测量和控制网络进行对比定位，并呈现其概念性的社会技术参考模型。该参考模型为本文提出的不确定性分类法提供了建议，该分类法展示了关于不确定性的各种观点之间的语义差异。这个模型还有助于识别在改进物联网传感器网络不确定性理论和实践方面应解决的关键挑战。
