Distributed intelligent illumination control in the context of probabilistic graphical models

M. Cosovic, T. Devaja, D. Bajovic, J. Machaj, G. McCutcheon, V. Stankovic, L. Stankovic, D. Vukobratovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching frequency allowing for better illumination control and system efficiency. In this paper, we present a fully distributed energy-saving illumination dimming control strategy for the system of a lighting network which consists of a group of LEDs and user-Associated devices. In order to solve the optimization problem, we are using a distributed approach that utilizes factor graphs and the belief propagation algorithm. Using probabilistic graphical models to represent and solve the system model provides for a natural description of the problem structure, where user devices and LED controllers exchange data via line-of-sight communication.

Original languageEnglish
Title of host publication2019 4th International Conference on Smart and Sustainable Technologies, SpliTech 2019
EditorsToni Perkovic, Katarina Vukojevic, Joel J.P.C. Rodrigues, Joel J.P.C. Rodrigues, Sandro Nizetic, Luigi Patrono, Petar Solic
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages6
ISBN (Electronic)978-953-290-091-0
DOIs
Publication statusPublished - 18 Jun 2019
Event4th International Conference on Smart and Sustainable Technologies 2019 - Island of Brac and Split, Split, Croatia
Duration: 18 Jun 201921 Jun 2019
http://2019.splitech.org/

Conference

Conference4th International Conference on Smart and Sustainable Technologies 2019
CountryCroatia
CitySplit
Period18/06/1921/06/19
Internet address

Keywords

  • LED system
  • distributed control
  • newton method
  • factor graphs
  • belief propagation

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