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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BdKCSE2014_Pre_Res.pdf | 284.5 kB | Adobe PDF | View/Open |
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