Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/22625
Title: | Enabling internet of things for smart homes through fog computing | Authors: | Trivodaliev, Kire Risteska Stojkoska, Biljana |
Keywords: | data reduction, Energy management, Internet of Things, smart home, smart grid, smart metering | Issue Date: | 21-Nov-2017 | Publisher: | IEEE | Conference: | 25th Telecommunications forum TELFOR 2017 | Abstract: | Smart grid is the process of applying ICT in order to optimize energy consumption and decrease energy loses. This paper presents a three tier Internet of Thing based hierarchical framework for the smart home, as a reflection to the present lack of intelligent solutions that do not fully use the advantages of Internet of Thing technologies. Our framework aims to extend the smart home to microgrid level, in order to integrate all renewable distributed energy sources from the microgrid and to achieve better energy optimization. As an extension to the traditional data processing, we define fog computing approach for smart home. Through simulation on real smart meter dataset, we showed that fog computing based on predictive filters can reduce the number of transmissions and minimize smart home network traffic. | URI: | http://hdl.handle.net/20.500.12188/22625 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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