Open AccessIntegrated approach to revelation of anomalies in wireless sensor networks for water control cases
Author(s) -
Alexey Meleshko,
AUTHOR_ID,
Anton Shulepov,
Vasily Desnitsky,
Evgenia Novikova,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
kompʹûternye instrumenty v obrazovanii
Language(s) - English
Resource type - Journals
eISSN - 2071-2359
pISSN - 2071-2340
DOI - 10.32603/2071-2340-2021-1-59-68
Subject(s) - revelation , wireless sensor network , computer science , software , data mining , wireless , control (management) , real time computing , computer network , artificial intelligence , telecommunications , operating system , art , literature
This article describes an approach to revelation of anomalies for Wireless Sensor Networks (WSN). It is based on the integration of visual data analysis techniques and data mining techniques. Feasibility of the approach has been confirmed on a demo case for WSN water management scenario. For verification we developed a software/hardware prototype of the network and a software model to generate the necessary data sets for the establishment of detection models and their investigation. The experiments carried out have shown a high quality of detection, which shows the applicability of the integrated approach to revelation of anomalies for use in practical cases.