This dataset is supplementary materials for "Integrated VLC-RF System with Angular Diversity Receiver for Robust Industrial IoT Applications".
1. User monitoring application.mp4
This describes the prototype of the integrated VLC-RF system with the ADR for IoT applications. It starts from the introduction of experiment setup.
Real-time sensor data transmission is demonstrated. In the demonstration, light sensor data is uploaded to the Wi-Fi cloud via Uplink.
With the growth of Internet of Things (IoT) applications, the need for accurate indoor positioning systems (IPS) has become urgent. While GPS has limitations in indoor scenarios, Visible Light Positioning (VLP) presents promising results. This paper addresses the challenge of estimating the receiver's height in three-dimensional (3D) positioning scenarios, a crucial problem in VLP. We propose a novel 3D VLP algorithm, adopting a multiple estimation strategy for height estimation to minimize random errors.
At present, various technologies have been developed for indoor positioning, such as Bluetooth, infrared, wireless local area network, radio frequency identification (RFID), and ultra-wide band (UWB) , but most of these technologies require hardware, are costly, and are susceptible to electromagnetic interference.
This file contains VLC RSSI data from the IoRL Measurement campaign.
The processing files included are developed by Ben Meunier from Brunel University London.
