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Article

Data Collection Technology for Ambient Intelligence Systems in Internet of Things

by
Alexander Vodyaho
1,
Vasiliy Osipov
2,
Nataly Zhukova
2,* and
Vladimir Chernokulsky
3
1
Department of Computer Science and Engineering, Saint Petersburg Electrotechnical University (IETI), 197376 Saint Petersburg, Russia
2
St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 Saint Petersburg, Russia
3
Department of Software Engineering and Computer Applications, Saint Petersburg Electrotechnical University (IETI), 197376 Saint Petersburg, Russia
*
Author to whom correspondence should be addressed.
Electronics 2020, 9(11), 1846; https://doi.org/10.3390/electronics9111846
Submission received: 22 September 2020 / Revised: 23 October 2020 / Accepted: 28 October 2020 / Published: 4 November 2020
(This article belongs to the Special Issue Ambient Intelligence in IoT Environments)

Abstract

Ambient Intelligence System (AmIS) can be constructed using data collected from Internet of Things (IoT). In this paper, the IoT data collection problem is studied for AmIS with dynamic structure and dynamic behavior of participants (devices), where constraints on resources consumption and performance are essential. A novel technology is proposed, which includes the following steps: (1) definition of the data collection (DC) problem (considering the model of the observed system, DC conditions, etc.); (2) DC policy assignment; (3) construction of DC models; (4) evaluation and presentation of the data processing results. The proposed DC technology supports the development of data collecting subsystems in AmIS. Such subsystems provide data that reflect the changes in structure, state, situation, and behavior of participants in their IoT environment in time. Therefore, we show how this “cognitive” function of the DC process increases the intelligence level of IoT environment.
Keywords: ambient intelligence system; data collection; internet of things ambient intelligence system; data collection; internet of things

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MDPI and ACS Style

Vodyaho, A.; Osipov, V.; Zhukova, N.; Chernokulsky, V. Data Collection Technology for Ambient Intelligence Systems in Internet of Things. Electronics 2020, 9, 1846. https://doi.org/10.3390/electronics9111846

AMA Style

Vodyaho A, Osipov V, Zhukova N, Chernokulsky V. Data Collection Technology for Ambient Intelligence Systems in Internet of Things. Electronics. 2020; 9(11):1846. https://doi.org/10.3390/electronics9111846

Chicago/Turabian Style

Vodyaho, Alexander, Vasiliy Osipov, Nataly Zhukova, and Vladimir Chernokulsky. 2020. "Data Collection Technology for Ambient Intelligence Systems in Internet of Things" Electronics 9, no. 11: 1846. https://doi.org/10.3390/electronics9111846

APA Style

Vodyaho, A., Osipov, V., Zhukova, N., & Chernokulsky, V. (2020). Data Collection Technology for Ambient Intelligence Systems in Internet of Things. Electronics, 9(11), 1846. https://doi.org/10.3390/electronics9111846

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