| Title |
Design and Implementation of Smart IoT Monitoring System using Multi-to-One Visible Light Communication |
| Authors |
고나영(Nayoung Ko) ; 최다봄(Dabom Choi) ; 심규성(Kyusung Shim) ; 안병구(Beongku An) |
| DOI |
https://doi.org/10.5573/ieie.2023.60.2.45 |
| Keywords |
Visible light communication; Deep learning; Smart IoT monitoring |
| Abstract |
In this paper, we propose an intelligent Multi-to-One visible light communication (VLC)-based smart internet-of-thing (IoT) monitoring system. The main contribution of the proposed system model can be summarized as follows. First, the proposed Multi-to-One VLC system can receive the data from multiple IoT devices at the same time. Second, the proposed system can decide by itself the level of the window open by using the deep neural network (DNN) model. Third, in order to serve the user and administrator, the proposed system can visualize the current status of the IoT system and the level of the window open through the cloud server. The results of performance evaluation show that the proposed system successfully transmits and receives IoT data via the Multi-to-One VLC system. Besides, the proposed system can decide the level of the window open through the DNN model using the received data and provide the visualized results to the users. |