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

TL;DR

This paper introduces a novel IoT gateway controller that leverages deep sensing and autonomous management to handle vast data and device interoperability efficiently at the network edge.

Contribution

It proposes a new controller approach for IoT gateways enabling autonomous management, deep sensing, and seamless data interoperability with cloud solutions.

Findings

Feasibility demonstrated through evaluation.

Enhanced deep sensing capabilities.

Improved autonomous gateway management.

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.