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.