Designing adaptive lighting control algorithms for smart buildings and homes

Yuan Wang, Partha Dasgupta

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

4 Citations (Scopus)

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 - 2014
Event11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 - Miami, FL, United States
Duration: Apr 7 2014Apr 9 2014

Other

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

Fingerprint

Intelligent buildings
Lighting
Sensors
Heuristic algorithms
Computational complexity
Actuators

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this

Wang, Y., & Dasgupta, P. (2014). Designing adaptive lighting control algorithms for smart buildings and homes. In Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 (pp. 279-284). [6819639] IEEE Computer Society. https://doi.org/10.1109/ICNSC.2014.6819639

Designing adaptive lighting control algorithms for smart buildings and homes. / Wang, Yuan; Dasgupta, Partha.

Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society, 2014. p. 279-284 6819639.

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

Wang, Y & Dasgupta, P 2014, Designing adaptive lighting control algorithms for smart buildings and homes. in Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014., 6819639, IEEE Computer Society, pp. 279-284, 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014, Miami, FL, United States, 4/7/14. https://doi.org/10.1109/ICNSC.2014.6819639
Wang Y, Dasgupta P. Designing adaptive lighting control algorithms for smart buildings and homes. In Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society. 2014. p. 279-284. 6819639 https://doi.org/10.1109/ICNSC.2014.6819639
Wang, Yuan ; Dasgupta, Partha. / Designing adaptive lighting control algorithms for smart buildings and homes. Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014. IEEE Computer Society, 2014. pp. 279-284
@inproceedings{af9ff4cce21d48468120981644233bff,
title = "Designing adaptive lighting control algorithms for smart buildings and homes",
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.",
author = "Yuan Wang and Partha Dasgupta",
year = "2014",
doi = "10.1109/ICNSC.2014.6819639",
language = "English (US)",
isbn = "9781479931064",
pages = "279--284",
booktitle = "Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Designing adaptive lighting control algorithms for smart buildings and homes

AU - Wang, Yuan

AU - Dasgupta, Partha

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84902369674&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902369674&partnerID=8YFLogxK

U2 - 10.1109/ICNSC.2014.6819639

DO - 10.1109/ICNSC.2014.6819639

M3 - Conference contribution

AN - SCOPUS:84902369674

SN - 9781479931064

SP - 279

EP - 284

BT - Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014

PB - IEEE Computer Society

ER -