Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/23128
Title: Big Data Platform for Monitoring Indoor Working Conditions and Outdoor Environment
Authors: Mishkovski, Igor 
Basnarkov, Lasko 
Kocarev, Ljupcho
Ilchev, Svetozar
Andreev, Rumen
Keywords: Big Data, Sensor, WSN, Mining
Issue Date: 5-Nov-2014
Journal: Big Data, Knowledge and Control Systems Engineering
Abstract: This paper presents a framework and a test bed for monitoring indoor working conditions and outdoor environment. In particular, we focus on developing: i) a test bed small Wireless Sensor Network (WSN) for monitoring indoor and outdoor environment parameters using low cost Arduino controllers, transceivers and sensors, and ii) real-time platform for analysis and mining of the sensor data. Together the two integral parts will offer not only monitoring, but also mining of the data and detection of any environmental anomalies.
URI: http://hdl.handle.net/20.500.12188/23128
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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