IoT big data analytics for smart homes with fog and cloud computing
IoT big data analytics for smart homes with fog and cloud computing
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DOI：
10.1016/j.future.2018.08.040
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发表时间：
2019-02
期刊：
影响因子：
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通讯作者：
A. Yassine;Shailendra Singh;M. S. Hossain;Ghulam Muhammad
中科院分区：
文献类型：
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作者：
A. Yassine;Shailendra Singh;M. S. Hossain;Ghulam Muhammad
物联网（IoT）分析是获取知识和支持智能家居应用的重要手段。智能家居中的联网电器和设备产生了大量关于消费者以及他们如何进行日常活动的数据。物联网分析可以帮助个性化应用程序，使房主和需要利用消费者配置文件的不断增长的行业受益。本文介绍了一个新的平台，可以对从智能家居捕获的物联网数据进行创新分析。我们建议使用雾节点和云系统来实现数据驱动的服务，并解决在线和离线数据处理，存储和分类分析的复杂性和资源需求的挑战。我们在本文中讨论的要求和系统的设计组件。为了验证该平台，并提出有意义的结果，我们提出了一个案例研究使用的数据集从真实的智能家居在温哥华，加拿大。实验结果表明了该平台的有效性和实用性。
Internet of Things (IoT) analytics is an essential mean to derive knowledge and support applications for smart homes. Connected appliances and devices inside the smart home produce a significant amount of data about consumers and how they go about their daily activities. IoT analytics can aid in personalizing applications that benefit both homeowners and the ever growing industries that need to tap into consumers profiles. This article presents a new platform that enables innovative analytics on IoT captured data from smart homes. We propose the use of fog nodes and cloud system to allow data-driven services and address the challenges of complexities and resource demands for online and offline data processing, storage, and classification analysis. We discuss in this paper the requirements and the design components of the system. To validate the platform and present meaningful results, we present a case study using a dataset acquired from real smart home in Vancouver, Canada. The results of the experiments show clearly the benefit and practicality of the proposed platform.