Title :
Detection of unexpected data changes in monitored system
Author :
Lojka, T. ; Bundzel, M. ; Zolotova, I.
Author_Institution :
Dept. of Cybern. & Artificial Intell., Tech. Univ. of Kosice, Kosice, Slovakia
Abstract :
This paper deals about sensor network and its communication and energy consumption reduction. Our implementation is focused on reaching communication reduction to spare power resources on sensor nodes. To decrease amount of communication and not decrease amount information about monitored or controlled system we used data mining technique and events based communication. Data mining technique was implemented directly on sensor node, which offers enough storage and computing sources. Implemented data mining technique is SPRT (Sequential Probability Ratio Test). Using this method, the sensor decides, if the monitored system is behaving abruptly. Like the result of decision, the sensor creates appropriate type of event. The sensors are subscribed to event listener, which handle these events. Using events in sensor network, with transmitting only valuable information, has good result in communication reduction and faster feedback from monitored system and with information.
Keywords :
SCADA systems; computerised instrumentation; data mining; statistical testing; SCADA; SPRT; communication reduction; data mining technique; energy consumption reduction; events based communication; sensor network; sequential probability ratio test; supervisory control and data acquisition systems; unexpected data change detection; Control systems; Data mining; Logic gates; Monitoring; Process control; Robot sensing systems; Spread spectrum communication;
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2015 IEEE 13th International Symposium on
Conference_Location :
Herl´any
DOI :
10.1109/SAMI.2015.7061853