Open AccessSensors and wrong values
Author(s) -
Zoltán Pödör
Publication year - 2021
Publication title -
transactions on networks and communications
Language(s) - English
Resource type - Journals
ISSN - 2054-7420
DOI - 10.14738/tnc.94.10539
Subject(s) - computer science , task (project management) , big data , data collection , domain (mathematical analysis) , factory (object oriented programming) , data science , internet of things , data mining , embedded system , systems engineering , statistics , mathematics , engineering , mathematical analysis , programming language
In the world of IoT and BigData, sensor based data collection is a really important domain. Using these tools it is possible to stow large amounts of data collection sensors in a factory or in nature in harsh environments. However, in order to obtain valuable information from these tools, it is important that potentially wrong data is discovered and handled. Automated exploration of wrong data is not a trivial task, even if similar measurements are performed in parallel with spatial differences. We present the difficulties of revealing defected data and suggest easy-to-implement procedures for detecting and handing them. We also draw attention to the potential disadvantages of these methods based on the given results.