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Rule-Based Occupancy and Daylight Control for a WLAN-Connected Dual-Way Lighting Prototype
Subject area: Science,Engineering and Technology · Area of research: IoT
Abstract
This study develops and evaluates a deterministic control strategy for a wireless LAN-connected two-channel indoor lighting prototype. An ESP32 uses online commands, passive-infrared motion events, manual push-button inputs, and ambient light measurements to execute the control loop locally. Automatic operation is only triggered when the ambient light level drops below a predetermined threshold; occupancy then initiates the selected channel, and a hold time prevents it from shutting off prematurely. The controller synchronizes the states of the relay, display, and web interface; manual and network inputs permit express override. Scenario-based testing was used to demonstrate automated Wi-Fi reconnection, independent and simultaneous channel control, motion-triggered activation in the dark, correct bright-condition inhibition, and local network access. The contribution is an explainable edge-control architecture that reduces dependence on the cloud while preserving user agency. Since the source experiment did not record illuminance, energy, delay, or occupancy ground truth, the results show functional validity rather than quantifiable energy savings. A measuring process is recommended for additional comparison analysis.
Keywords
Occupancy Sensing; Daylight-responsive Control; Rule-based Automation; WLAN; ESP32; Smart Buildings; Human Override
References
[1] V. Burmaka, M. Tarasenko, K. Kozak, V. Khomyshyn, and N. Sabat, “Economic and energy efficiency of artificial lighting control systems for stairwells of multistory residential buildings,” Journal of Daylighting, vol. 7, no. 1, pp. 93–106, 2020, doi: 10.15627/jd.2020.8. Crossref
[2] D. Caicedo and A. Pandharipande, “Distributed illumination control with local sensing and actuation in networked lighting systems,” IEEE Sensors Journal, vol. 13, no. 3, pp. 1092–1104, 2012.
[3] A. Karapetyan, S. C.-K. Chau, K. Elbassioni, S. K. Azman, and M. Khonji, “Multisensor adaptive control system for IoT-empowered smart lighting with oblivious mobile sensors,” ACM Transactions on Sensor Networks (TOSN), vol. 16, no. 1, pp. 1–21, 2019, doi: 10.1145/3369392. ACM
[4] Karapetyan, S. C.-K. Chau, K. Elbassioni, M. Khonji, and E. Dababseh, “Smart lighting control using oblivious mobile sensors,” in Proc. 5th Conf. Systems for Built Environments, 2018, pp. 158–167, doi: 10.1145/3276774.3276788. ACM
[5] H. Lee, C. Choi, and M. Sung, “Development of a dimming lighting control system using general illumination and location-awareness technology,” Energies, vol. 11, no. 11, Art. no. 2999, 2018, doi: 10.3390/en11112999. MDPI
[6] M. Soheilian, G. Fischl, and M. Aries, “Smart lighting application for energy saving and user well-being in the residential environment,” Sustainability, vol. 13, no. 11, Art. no. 6198, 2021, doi: 10.3390/su13116198. MDPI
[7] K. R. Wagiman, M. N. Abdullah, M. Y. Hassan, and N. H. M. Radzi, “A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 16, no. 1, pp. 208–215, 2019, doi: 10.11591/ijeecs.v16.i1.pp208-215. IJEECS
How to cite this paper
@article{1722860,
author = {Akinola A. O., Adedeji O. O., Olawale J. B., Oyebamiji B. J.},
title = {Rule-Based Occupancy and Daylight Control for a WLAN-Connected Dual-Way Lighting Prototype},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {3},
pages = {2585-2591},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1722860.pdf},
abstract = {This study develops and evaluates a deterministic control strategy for a wireless LAN-connected two-channel indoor lighting prototype. An ESP32 uses online commands, passive-infrared motion events, manual push-button inputs, and ambient light measurements to execute the control loop locally. Automatic operation is only triggered when the ambient light level drops below a predetermined threshold; occupancy then initiates the selected channel, and a hold time prevents it from shutting off prematurely. The controller synchronizes the states of the relay, display, and web interface; manual and network inputs permit express override. Scenario-based testing was used to demonstrate automated Wi-Fi reconnection, independent and simultaneous channel control, motion-triggered activation in the dark, correct bright-condition inhibition, and local network access. The contribution is an explainable edge-control architecture that reduces dependence on the cloud while preserving user agency. Since the source experiment did not record illuminance, energy, delay, or occupancy ground truth, the results show functional validity rather than quantifiable energy savings. A measuring process is recommended for additional comparison analysis.},
keywords = {Occupancy Sensing; Daylight-responsive Control; Rule-based Automation; WLAN; ESP32; Smart Buildings; Human Override},
month = {September},
}