Research and Development of Bluetooth Low-Energy Multi-Device Dynamic Connection Framework
Hsin-Chuan Wu, Yu‐Ling Lin, Yu-Jung Lin, Ching-Jung Cheng, Cheng-Ta Chuang · 2024
In this paper we focus on Bluetooth RSSI positioning and develop a new Bluetooth positioning framework to reduce the problem of wasting resources caused by the lack of flexibility in the number of Bluetooth beacons required for large-scale positioning using the current framework. We break the traditional concept of the one being located, so that it can also function as a beacon after obtaining the coordinate position, providing more information to assist calculations, thus expanding more locatable areas and devices. This greatly reduces the cost and difficulty of densely deploying beacons. Utilizing the characteristics of low-power Bluetooth and its scanning and broadcast functions, we made a network structure similar to Bluetooth MESH, allowing information to flow layer by layer between devices, and ultimately allowing the central computing unit to locate the locations of all devices within the framework. Finally, this paper increased the number of devices in the experiment, and found that the increase in the number of devices rises the possibility of being located, and shows a logarithmic growth curve.