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Open Access

Dataflow Management in the Internet of Things: Sensing, Control, and Security

School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing 100083, China
Beijing Engineering Research Center for Cyberspace Data Analysis and Applications, Beijing 100083, China
Run Technologies Co., Ltd., Beijing 100192, China
School of Information Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
Northern Cloud Research Team, Engineering University of PAP, Xi’an 710086, China
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Abstract

The pervasiveness of the smart Internet of Things (IoTs) enables many electric sensors and devices to be connected and generates a large amount of dataflow. Compared with traditional big data, the streaming dataflow is faced with representative challenges, such as high speed, strong variability, rough continuity, and demanding timeliness, which pose severe tests of its efficient management. In this paper, we provide an overall review of IoT dataflow management. We first analyze the key challenges faced with IoT dataflow and initially overview the related techniques in dataflow management, spanning dataflow sensing, mining, control, security, privacy protection, etc. Then, we illustrate and compare representative tools or platforms for IoT dataflow management. In addition, promising application scenarios, such as smart cities, smart transportation, and smart manufacturing, are elaborated, which will provide significant guidance for further research. The management of IoT dataflow is also an important area, which merits in-depth discussions and further study.

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Tsinghua Science and Technology
Pages 918-930
Cite this article:
Wei D, Ning H, Shi F, et al. Dataflow Management in the Internet of Things: Sensing, Control, and Security. Tsinghua Science and Technology, 2021, 26(6): 918-930. https://doi.org/10.26599/TST.2021.9010029

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Received: 25 March 2021
Accepted: 09 April 2021
Published: 09 June 2021
© The author(s) 2021.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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