A cognitive management framework for empowering the internet of things

V Foteinos, D Kelaidonis, G Poulios, V Stavroulaki, P Vlacheas, P Demestichas, R Giaffreda, A R Biswas, S Menoret, P Nguengang, Matti Eteläperä, N Septimiu-Cosmin, M Roelands, F Visintainer, K Moessner

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

7 Citations (Scopus)

Abstract

This work presents a Cognitive Management framework for empowering the Internet of Things (IoT). This framework has the ability to dynamically adapt its behaviour, through self-management functionality, taking into account information and knowledge (obtained through machine learning) on the situation (e.g., internal status and status of environment), as well as policies (designating objectives, constraints, rules, etc.). Cognitive technologies constitute a unique and efficient approach for addressing the technological heterogeneity of the IoT and obtaining situation awareness, reliability and efficiency. The paper also presents a first indicative implementation of the proposed framework, comprising real sensors and actuators. The preliminary results of this work demonstrate high potential towards self-reconfigurable IoT
Original languageEnglish
Title of host publicationThe Future Internet
Subtitle of host publicationFIA 2013
EditorsA. Galis, A. Gavras
Pages187-199
ISBN (Electronic)978-3-642-38082-2
DOIs
Publication statusPublished - 2013
MoE publication typeNot Eligible
EventAnnual Future Internet Assembly, FIA 2013 - Dublin, Ireland
Duration: 8 May 201310 May 2013

Publication series

SeriesLecture Notes in Computer Science
Volume7858
ISSN0302-9743

Conference

ConferenceAnnual Future Internet Assembly, FIA 2013
Abbreviated titleFIA 2013
CountryIreland
CityDublin
Period8/05/1310/05/13

Fingerprint

Learning systems
Actuators
Sensors
Internet of things

Keywords

  • Cognitive management
  • composite virtual objects
  • Internet of Things
  • stakeholder requirements
  • user requirements
  • virtual objects

Cite this

Foteinos, V., Kelaidonis, D., Poulios, G., Stavroulaki, V., Vlacheas, P., Demestichas, P., ... Moessner, K. (2013). A cognitive management framework for empowering the internet of things. In A. Galis, & A. Gavras (Eds.), The Future Internet: FIA 2013 (pp. 187-199). Lecture Notes in Computer Science, Vol.. 7858 https://doi.org/10.1007/978-3-642-38082-2_16
Foteinos, V ; Kelaidonis, D ; Poulios, G ; Stavroulaki, V ; Vlacheas, P ; Demestichas, P ; Giaffreda, R ; Biswas, A R ; Menoret, S ; Nguengang, P ; Eteläperä, Matti ; Septimiu-Cosmin, N ; Roelands, M ; Visintainer, F ; Moessner, K. / A cognitive management framework for empowering the internet of things. The Future Internet: FIA 2013. editor / A. Galis ; A. Gavras. 2013. pp. 187-199 (Lecture Notes in Computer Science, Vol. 7858 ).
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Foteinos, V, Kelaidonis, D, Poulios, G, Stavroulaki, V, Vlacheas, P, Demestichas, P, Giaffreda, R, Biswas, AR, Menoret, S, Nguengang, P, Eteläperä, M, Septimiu-Cosmin, N, Roelands, M, Visintainer, F & Moessner, K 2013, A cognitive management framework for empowering the internet of things. in A Galis & A Gavras (eds), The Future Internet: FIA 2013. Lecture Notes in Computer Science, vol. 7858 , pp. 187-199, Annual Future Internet Assembly, FIA 2013, Dublin, Ireland, 8/05/13. https://doi.org/10.1007/978-3-642-38082-2_16

A cognitive management framework for empowering the internet of things. / Foteinos, V; Kelaidonis, D; Poulios, G; Stavroulaki, V; Vlacheas, P; Demestichas, P; Giaffreda, R; Biswas, A R; Menoret, S; Nguengang, P; Eteläperä, Matti; Septimiu-Cosmin, N; Roelands, M; Visintainer, F; Moessner, K.

The Future Internet: FIA 2013. ed. / A. Galis; A. Gavras. 2013. p. 187-199 (Lecture Notes in Computer Science, Vol. 7858 ).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - This work presents a Cognitive Management framework for empowering the Internet of Things (IoT). This framework has the ability to dynamically adapt its behaviour, through self-management functionality, taking into account information and knowledge (obtained through machine learning) on the situation (e.g., internal status and status of environment), as well as policies (designating objectives, constraints, rules, etc.). Cognitive technologies constitute a unique and efficient approach for addressing the technological heterogeneity of the IoT and obtaining situation awareness, reliability and efficiency. The paper also presents a first indicative implementation of the proposed framework, comprising real sensors and actuators. The preliminary results of this work demonstrate high potential towards self-reconfigurable IoT

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Foteinos V, Kelaidonis D, Poulios G, Stavroulaki V, Vlacheas P, Demestichas P et al. A cognitive management framework for empowering the internet of things. In Galis A, Gavras A, editors, The Future Internet: FIA 2013. 2013. p. 187-199. (Lecture Notes in Computer Science, Vol. 7858 ). https://doi.org/10.1007/978-3-642-38082-2_16