Adaptive Smart Lighting Control based on Genetic Algorithm

被引：0

作者：

Minh Hoang Ngo ^{[1
]}

Xuan Viet Cuong Nguyen ^{[1
]}

Quang Khai Duong ^{[1
]}

Hoai Son Nguyen ^{[1
]}

机构：

[1] VNU Univ Engn & Technol, Fac Informat Technol, Hanoi, Vietnam

来源：

PROCEEDINGS OF 2019 25TH ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS (APCC) | 2019年

关键词：

Smart lighting; Genetic algorithm; MQTT; Home Gateway; API Server; natural illuminance; power consumption;

D O I：

10.1109/apcc47188.2019.9026473

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：320 / 325

页数：6

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