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

机译:IOT-CriChed Smart Homes的多维智能社区发现计划

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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.
机译:互联网进入每个家庭的扩散为居民提供了更多的机会,以便比以前更接近。然而,与传统城镇中的人相比,扎实的结构屏障被提出,并且在此类社区内的社会关系疲软。因此,通过建设性的参与和居民之间的共同共享劳动力共享居民的激活社区和最终增强社区感,目​​前在当代住房综合体中成为一个具有挑战性的问题。为了激活这些社区,提出了一个智能社区的概念,其中多个智能家庭配备了物联网并互相连接。除了由身体接近组成的未经内智能社区之外,必须发现一个以人为本的社区,实现了社区福利,使居民能够通过利用集体智能来最大限度地提高个人经济增益。在本文中,我们提出了一种多维智能社区发现方案,使家庭者能够在物理,社会和经济方面考虑多维因素的人为人心的社区。通过应用基于社区的节能方案,我们通过30家真人进行实验。实验结果表明,与能量消耗和用户满意度的物理接近的一个相比,该方案的表现更好。

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