Cognitive Management for the Internet of Things: A Framework for Enabling Autonomous Applications

Suitable architecture and technological foundations are required for the handling of the number of objects that will be part of the Internet of Things (IoT) and the various networking technologies used for their interconnection requires. There is still a lack of management functionality to overcome the technological heterogeneity and complexity of the underlying networks and IoT infrastructure, despite significant work on architectures and test facilities for the IoT, so as to enhance context/situational-awareness, reliability, and energy-efficiency of IoT applications. A cognitive management framework for the IoT aiming to address these issues is presented in this article, comprising three levels of functionality: virtual objects (VOs), composite VOs (CVOs), and service levels. Cognitive entities at all levels provide the means for self-management (configuration, optimization, and healing) and learning. Three fundamental processes of this framework are presented: dynamic CVO creation, knowledge-based CVO instantiation, and CVO self-healing. Presented are a first prototype implementation of this framework and corresponding derived results.

• Record URL:
  • https://doi.org/10.1109/MVT.2013.2281657
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15566072
• Authors:
  • Foteinos, V
  • Kelaidonis, D
  • Poulios, G
  • Vlacheas, P
  • Stavroulaki, V
  • Demestichas, P
• Publication Date: 2013-12

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 90-99
• Serial:
  • IEEE Vehicular Technology Magazine
  • Volume: 8
  • Issue Number: 4
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1556-6072
  • Serial URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=34840

Subject/Index Terms

• TRT Terms: Computer architecture; Configuration management; Intelligent agents; Internet; Internet of things; Optimization; Virtual reality
• Uncontrolled Terms: Cognitive architecture; Healing
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01505120
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 27 2014 10:45AM