Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/20319
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dc.contributor.authorTrivodaliev, Kireen_US
dc.contributor.authorRisteska Stojkoska, Biljanaen_US
dc.contributor.authorDavchev, Danchoen_US
dc.date.accessioned2022-07-04T11:22:09Z-
dc.date.available2022-07-04T11:22:09Z-
dc.date.issued2017-03-08-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/20319-
dc.description.abstractThe increasing average age of the population in most industrialized countries imposes a necessity for developing advanced and practical services using state-of-the-art technologies, dedicated to personal living spaces. In this paper, we introduce a hierarchical distributed approach for home care systems based on a new paradigm known as Internet of Things (IoT). The proposed generic framework is supported by a three-level data management model composed of dew computing, fog computing, and cloud computing for efficient data flow in IoT based home care systems. We examine the proposed model through a real case scenario of an early fire detection system using a distributed fuzzy logic approach. The obtained results prove that such implementation of dew and fog computing provides high accuracy in fire detection IoT systems, while achieving minimum data latency.en_US
dc.publisherHindawien_US
dc.relation.ispartofWireless Communications and Mobile Computingen_US
dc.titleInternet of things framework for home care systemsen_US
dc.typeJournal Articleen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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