Management models of data collection processes in IoT networks with the dynamic structure
- Authors: Aung M.T.1, Abbas S.A.2, Zhukova N.A.3, Chernokulsky V.V.2
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Affiliations:
- ITMO University
- Saint- Petersburg Electrotechnical University (LETI)
- St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences
- Issue: Vol 7, No 3 (2020)
- Pages: 62-71
- Section: Articles
- URL: https://journals.eco-vector.com/2313-223X/article/view/529799
- DOI: https://doi.org/10.33693/2313-223X-2020-7-3-62-71
- ID: 529799
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Abstract
The collection of data from the network with dynamic structure is a complex process that must be performed with considering of security, energy efficiency and latency requirements. To determine the optimal data collection models that meet the stated requirements, the authors analyzed models and methods of data collection in dynamic networks, as well as management processes of data collection. The study allows to determine the most effective technologies for data collection in dynamic networks, which include Fog technologies and clustering technologies. Based on the analysis, the authors have developed the model for data collection managment, which allows to construct and rebuild the structures of data collection models in accordance with the requirements and conditions of data collection. The developed approaches and principles were successfully implemented in practice: a system of data collection was tested for the crane complexes, which is designed to work at production sites. In general, the study allows to identify methods and tools that effectively solve the problems of data collection in the networks with dynamic structure, and to demonstrate the solution of these problems in practice.
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About the authors
Myo Thaw Aung
ITMO University
Email: aungmyothaw52660@gmail.com
PhD student at the Faculty of Software Engineering and Computer Engineering St. Petersburg, Russian Federation
Saddam Ahmed Abbas
Saint- Petersburg Electrotechnical University (LETI)
Email: saddamabbas077@gmail.com
PhD student at the Department of Computer Science and Engineering of St. Petersburg, Russian Federation
Natalia A. Zhukova
St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences
Email: nazhukova@mail.ru
Cand. Sci. (Eng.), Assoc. Prof.; senior researcher St. Petersburg, Russian Federation
Vladimir V. Chernokulsky
Saint- Petersburg Electrotechnical University (LETI)
Email: vladimir.chernokulsky@gmail.com
PhD student St. Petersburg, Russian Federation
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