Method for Increasing the Various Sources Data Consistency for IoT Sensors

Kipchuk, F. and Sokolov, Volodymyr and Skladannyi, Pavlo and Zhyltsov, Oleksii and Ageyev, D. (2023) Method for Increasing the Various Sources Data Consistency for IoT Sensors IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PICST). pp. 522-526. ISSN 979-8-3503-9891-5

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The paper represents importance of performing data consistency operations with data sets, where it is possible and essential. Producing vast amounts of data by the Internet of Things (IoT) devices and sensors, all electronic data must be organized and processed. The approach presented in this paper may help researchers look for new areas of processing data, making it more consistent and reviewing already presented, maybe not so efficient methods. Learning from real-life examples, the efficiency of using smart devices, and the coverage of cellular or global positioning systems show many exciting and inspirational ways to work on science and practical success. This paper aims to create a method for combining data from different sources to obtain the best quality of the resulting data. The paper shows that we continue to increase number of sources to process and operate data, making it essential to process correctly and qualitatively. Researching approaches to make data more consistent and precise will be present almost all time

Item Type: Article
Uncontrolled Keywords: Accuracy; cellular; consistency; GNSS; IoT; ranking; sensor set; statistics
Subjects: Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus
Divisions: Це архівні підрозділи Київського університету імені Бориса Грінченка > Факультет інформаційних технологій та математики > Кафедра інформаційної та кібернетичної безпеки імені професора Володимира Бурячка
Depositing User: Павло Миколайович Складанний
Date Deposited: 06 Oct 2023 12:47
Last Modified: 06 Oct 2023 12:47

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