LESAR: Localization System for Environmental Sensors using Augmented Reality

Abstract

With the rapid development of IoT (Internet of Things) technology, numerous sensors are being deployed to the smart society with the integration of IoT services. Since the collected sensor data reflect the current status of the surrounding environment, determining accurate positions for sensors is crucial from the stage of setting the sensors to realize meaningful sensor data analysis. In this paper, we propose LESAR, a localization system for environmental sensing using augmented reality. LESAR uses a smartphone camera with the AR (Augmented Reality) function to measure the distances between sensors, while the ID of each sensor is identified simultaneously by analyzing the collected Bluetooth signals. The vision-based approach used can enable three-dimensional localization through the simple use of a smartphone.