Method for Increasing the Various Sources Data Consistency for IoT Sensors - volodymyr-sokolov/publications GitHub Wiki
Conference Paper
Volodymyr Sokolov 
,
Feodosiy Kipchuk ,
Pavlo Skladannyi ,
Oleksii Zhyltsov ,
Dmytro Ageyev
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.
https://ieeexplore.ieee.org/document/10238518 
| 10.1109/PICST57299.2022.10238518 
accuracy; cellular; consistency; GNSS; IoT; ranking; sensor set; statistics
Neural Network; Wireless Sensor Network; Quality of Service
10–12 October 2022 
Kharkiv, Ukraine
First Online: 6 September 2023
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ISBN: 979-8-3503-9892-2
, 979-8-3503-9891-5 
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EID: 2-s2.0-85172739043
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INSPEC: 23693600
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KUBG: 46307
V. Sokolov, et al., Method for Increasing the Various Sources Data Consistency for IoT Sensors, in: IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (2023) 522–526. doi: 10.1109/PICST57299.2022.10238518.