Cognitive management framework for Internet of Things:-A prototype implementation

Swaytha Sasidharan, Andrey Somov, Abdur Rahim Biswas, Raffaele Giaffreda

Research output: Contribution to conferencePaperpeer-review

26 Citations (Scopus)

Abstract

In the domain of Internet of Things (IoT), applications are modeled to understand and react based on existing contextual and situational parameters. This work implements a management flow for the abstraction of real world objects and virtual composition of those objects to provide IoT services. We also present a real world knowledge model that aggregates constraints defining a situation, which is then used to detect and anticipate future potential situations. It is implemented based on reasoning and machine learning mechanisms. This work showcases a prototype implementation of the architectural framework in a smart home scenario, targeting two functionalities: actuation and automation based on the imposed constraints and thereby responding to situations and also adapting to the user preferences. It thus provides a productive integration of heterogeneous devices, IoT platforms, and cognitive technologies to improve the services provided to the user.

Original languageEnglish
Pages538-543
Number of pages6
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE World Forum on Internet of Things, WF-IoT 2014 - Seoul, Korea, Republic of
Duration: 6 Mar 20148 Mar 2014

Conference

Conference2014 IEEE World Forum on Internet of Things, WF-IoT 2014
Country/TerritoryKorea, Republic of
CitySeoul
Period6/03/148/03/14

Keywords

  • Cognitive Technologies
  • Internet of Things
  • Machine Learning
  • Smart Home

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