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Context-based Reasoning through Fuzzy Logic for Edge Intelligence
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
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.ORCID iD: 0000-0003-4208-6757
2021 (English)In: International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN), ISSN 1923-7324, Vol. 15, no 1, p. 17-25Article in journal (Refereed) Published
Abstract [en]

With the advent of edge computing, the Internet of Things (IoT) environment has the ability to process data locally. The complexity of the context reasoning process can be scattered across several edge nodes that physically placed at the source of the qualitative information by moving the processing and knowledge inference to the edge of the IoT network. This facilitates the real-time processing of a large range of rich data sources that would be less complex and expensive compare to the traditional centralized cloud system. In this paper, we propose a novel approach to provide low-level intelligence for IoT applications through an IoT edge controller that is leveraging the Fuzzy Logic Controller along with edge computing. This low-level intelligence, together with cloud-based intelligence, forms the distributed IoT intelligence. The proposed controller allows distributed IoT gateway to manage input uncertainties; besides, by interacting with its environment, the learning system can enhance its performance over time, which leads to improving the reliability of the IoT gateway. Therefore, such a controller is able to offer different context-aware reasoning to alleviate the distributed IoT. A simulated smart home scenario has been done to prove the plausibility of the low-level intelligence concerning reducing latency and more accurate prediction through learning experiences at the edge.

Place, publisher, year, edition, pages
2021. Vol. 15, no 1, p. 17-25
Keywords [en]
Internet of Things (IoT), context-awareness, edge computing, reasoning, type two fuzzy controller
National Category
Computer Engineering
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-200371DOI: 10.5383/JUSPN.15.01.003OAI: oai:DiVA.org:su-200371DiVA, id: diva2:1624555
Available from: 2022-01-04 Created: 2022-01-04 Last updated: 2022-01-05Bibliographically approved

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Firouzi, RaminRahmani Chianeh, RahimKanter, Theo
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf