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Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things

2020/09/18 by Rahim Rahmani, Rahmani, Rahim, Ramin Firouzi +1
Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Software Engineering (cs.SE)

paper · pdf · doi:10.48550/arxiv.2009.08646

openalex publication_date 2020/09/18 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28

Abstract

The Internet of Things(IoT) will revolutionize the Future Internet through ubiquitous sensing. One of the challenges of having the hundreds of billions of devices that are estimated to be deployed would be rise of an enormous amount of data, along with the devices ability to manage. This paper presents an approach as a controller solution and designed specifically for autonomous management, connectivity and data interoperability in an IoT gateway. The approach supports distributed IoT nodes with both management and data interoperability with other cloud-based solutions. The concept further allows gateways to easily collect and process interoperability of data from IoT devices. We demonstrated the feasibility of the approach and evaluate its advantages regarding deep sensing and autonomous enabled gateway as an edge computational intelligence.

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