The aim of the Internet of things (IoT) is to bring every object (wearable sensors, healthcare sensors, cameras, home appliances, smart phones, etc.) online. These different objects generate huge data which consequently lead to the need of requirements of efficient storage and processing. Cloud computing is an emerging technology to overcome this problem. However, there are some applications (healthcare) which need to process data in real time to improve its performance and require low latency and delay. Fog computing is one of the promising solutions which facilitate healthcare domain in terms of reducing the delay multihop data communication, distributing resource demands, and promoting service flexibility. In this study, a fog-based IoT healthcare framework is proposed in order to minimize the energy consumption of the fog nodes. Experimental results reveal that the performance of the proposed framework is efficient in terms of network delay and energy usage. Furthermore, the authors discussed and suggested important services of big data infrastructure which need to be present in fog devices for the analytics of healthcare big data.

中文翻译：

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迈向物联网大数据医疗保健解决方案的节能框架

物联网 (IoT) 的目标是让所有物体（可穿戴传感器、医疗传感器、相机、家用电器、智能手机等）联网。这些不同的对象会产生大量的数据，因此需要高效的存储和处理。云计算是解决这一问题的新兴技术。但是，有些应用（医疗保健）需要实时处理数据以提高其性能，并且需要低延迟和延迟。雾计算是在减少延迟多跳数据通信、分配资源需求和提高服务灵活性方面促进医疗保健领域的有前途的解决方案之一。在这项研究中，提出了一种基于雾的物联网医疗保健框架，以最大限度地减少雾节点的能耗。实验结果表明，所提出框架的性能在网络延迟和能源使用方面是有效的。此外，作者还讨论并建议了大数据基础设施的重要服务，这些服务需要存在于雾设备中以进行医疗大数据分析。