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引用次数: 2
摘要
物联网在我们日常生活中的应用范围越来越广,智能家居、智能农业、智能工业、智能城市等是应用领域中为数不多的热门领域。在上述领域可以看到通过网络连接的智能设备的使用。大量数据通过使用无线传感器的连接设备收集,然后通过网络传输到边缘和云进行计算。传感设备的增加导致更多的数据产生,因此随着现在产生更多的数据,无线终端也有所增加。这带来了一些需要解决的挑战,如处理延迟导致更多的时间消耗,影响数据传输速率和计算能力的数据带宽问题。为了在应用程序之间提供物联网服务,需要对通信介质进行大量的研究。研究了各种框架,如TelcoFog, Edge框架,CoSMOS, ROUTER, FogFlow, Deep Learning和IoTecture,并分析了它们的结果。本文旨在了解边缘/雾和基于云的计算中不同通信通道的作用,以及它们在不同计算方法中的作用。
Edge, Fog and Cloud-based Smart Communications for IoT Network based Services & Applications
The Internet of Things is increasing its span in our daily life, intelligent homes, agriculture, industries and smart cities are few popular fields among application areas. Use of smart devices connected over the network can be seen in the mentioned fields. Vast data is collected through the connected devices using wireless sensors and then transmitted over the network to the edge and cloud for the computation. The increase in sensory devices lead to more data generation thereby there is also raise in wireless terminals as now more data is generated. This brings some challenges that need to be resolved, like processing delay leading to more time consumption, data bandwidth issues affecting data transfer rate and computation capability. It has been identified that massive work needs to be researched on communication medium to provide IoT services among the applications. Various frameworks like TelcoFog, Edge framework, CoSMOS, ROUTER, FogFlow, Deep Learning and IoTecture were studied and their results were analysed. This paper aims to understand the role of different communication channels for edge/fog and cloud-based computing, and understand their role in different computation methodologies.