A Multi-Dimensional Smart Community Discovery Scheme for IoT-Enriched Smart Homes

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The proliferation of the Internet into every household has provided more opportunities for residents to become closer to each other than before. However, solid structural barrier is raised and social relationships within such neighborhoods are weak compared to those in traditional towns. Accordingly, activating communities and ultimately enhancing a sense of community through constructive participation and communal sharing of labor among residents has currently emerged as a challenging issue in a contemporary housing complex. In an effort to activate those communities, a notion of smart community is presented in which multiple smart homes are equipped with Internet of Things and interconnected with each other. Beyond the unadorned smart community composed by physical proximity, it is essential to discover a human-centric community that achieves communal benefits and enables residents to maximize individual economic gain by leveraging collective intelligence. In this article, we present a multi-dimensional smart community discovery scheme that enables householders to find human-centric community considering multi-dimensional factors in terms of physical, social, and economical aspects. We conduct experiments with 30 real households by applying a community-based energy saving scenario. Experiment results show that the proposed scheme performs better when compared to the physical proximity-based one in energy consumption and user satisfaction.
Publisher
ASSOC COMPUTING MACHINERY
Issue Date
2017-12
Language
English
Article Type
Article
Keywords

SOCIAL NETWORKS; SIMILARITY

Citation

ACM TRANSACTIONS ON INTERNET TECHNOLOGY, v.18, no.1

ISSN
1533-5399
DOI
10.1145/3062178
URI
http://hdl.handle.net/10203/239928
Appears in Collection
CS-Journal Papers(저널논문)
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