Adaptive Smart Lighting Control based on Genetic Algorithm
Abstract
Smart lighting system plays an important role in smart homes because of its convenience comparing with boring and tedious on/off switches. With conventional smart lighting systems, users can easily change the lighting level of a room with a smart phone or voice control device. However, design an automated lighting system with energy saving is still a challenge. In this paper, we propose an adaptive smart lighting system using a control algorithm based on Genetic Algorithm (GA). Our system turns on and off lights that match the user's desire brightness and utilizes nature illuminance efficiently to save as much electric energy as possible. The control algorithm based on GA provides the optimized light turning pattern to the system and can adapt with the change of lighting environment and user requirement. Our evaluation results showed that the execution time of our algorithm is short enough to be used in real environment.
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With the same level of savings, GA can find optimal lighting faster than an exhaustive search.
“The result is that with the same level of savings, GA can find optimal lighting faster than an exhaustive search.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [306]
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Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101 · see citing works
- Authors
- Ngo, M. H., Nguyen, X. V. C., Duong, Q. K., & Nguyen, H. S.
- Affiliations
- VNU University of Engineering and Technology (VN)
- ORCID
- Nguyen, Hoai Son
- Venue
- 2019 25th Asia-Pacific Conference on Communications (APCC)
- Publisher
- IEEE
- Published
- 2019-11
- Pages
- 320-325
- OpenAlex
- W3010696712
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 1 · 2024: 3 · 2022: 1 · 2021: 1 · 2020: 2
- FWCI
- 1.59
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Asia-Pacific Conference on Communications (APCC) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- intelligent lighting control, adaptive lighting, genetic algorithm, energy conservation, home automation, automated lighting system, brightness control
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