Designing adaptive lighting control algorithms for smart buildings and homes

Yuan Wang, Partha Dasgupta

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

6 Scopus citations

Abstract

Artificial lighting is often the main lighting provision for workplaces. This paper describes algorithms for optimizing lighting control in large (smart) buildings that are extensible to smart home use. Systems that provide uniform lighting, under varying outdoor light levels, at occupied locations turns out to be a hard problem. We present methods that work as generic control algorithms and are not preprogrammed for a particular building. Our system uses wireless sensors and wired actuators for the lighting control. But the system does not know about locations and correlations between lights and sensors. The model shows that the control problem is NP-Hard. A heuristic algorithm is proposed and validated to solve the problem to compute approximate optimal solution.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
PublisherIEEE Computer Society
Pages279-284
Number of pages6
ISBN (Print)9781479931064
DOIs
StatePublished - Jan 1 2014
Event11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 - Miami, FL, United States
Duration: Apr 7 2014Apr 9 2014

Publication series

NameProceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

Other

Other11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
Country/TerritoryUnited States
CityMiami, FL
Period4/7/144/9/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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