Analysis and research direction of VLC interference environment in IoT sensor network

Abstract

Visible light communication is very attractive for use as a convergence technology in the field of IOT sensor network which is a short distance communication. In a situation where the lighting infrastructure is already in place, it is a very suitable technology for creating a network group between a plurality of lights and IOT devices. However, the existing visible light communication environment is insufficient to solve the light interference problem that is received from other adjacent light sources in the environment where a plurality of IoT devices exist. Due to the nature of visible light, strong intermittent interference with strong adjacent light sources must be addressed. Methods/Statistical analysis: In this paper, we assume a rectangular parallelepiped room, illuminate the ceiling and wall of the transmitter LED, and derive a communication channel model in a fixed height environment considering the height of the desk. We propose an interference model between multiple IOT devices and indirect lighting and propose a research method to solve it. Findings: Since the IoT environment communicates with many devices at the same time, interference due to indirect lighting in such environments greatly degrades network performance. In order to solve these problems, it is necessary to study the interference model and study the interference cancellation technique suitable for the interference scenario. However, if the intensity of the adjacent light source is very strong, it is difficult to appropriately apply the interference cancellation technique. In future work, we need to analyze and analyze the interference cancellation techniques that are currently being studied and find solutions that can solve problems when the power of indirect illumination is strong. Improvements/Applications: It is necessary to analyze interference scenarios and cancellation techniques that have been studied so far and to find interference cancellation models suitable for sensor networks.