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Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-5924-5457
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2021 (English)In: International Journal of Communication Networks and Distributed Systems, ISSN 1754-3916, E-ISSN 1754-3924, Vol. 26, no 1, p. 1-29Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2021. Vol. 26, no 1, p. 1-29
Keywords [en]
Intelligent IoT, Open Distributed system, Autonomous Gateway, Context-aware pervasive system, Deep Sensing, Advanced Machine Learning, Edge computing, Fog computing
National Category
Computer Engineering
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-188939DOI: 10.1504/IJCNDS.2021.111631OAI: oai:DiVA.org:su-188939DiVA, id: diva2:1517640
Available from: 2021-01-14 Created: 2021-01-14 Last updated: 2022-03-23Bibliographically approved

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  • de-DE
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  • Other locale
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