A hybrid indoor positioning for asset tracking using Bluetooth low energy and Wi-Fi

In this paper, an asset positioning method is proposed. The proposed method combines Wi-Fi fingerprinting and Bluetooth low energy (BLE) trilateration positioning methods. Firstly, the Wi-Fi fingerprinting method estimates the rough position of asset in a large building, provided by mobile device user. Then, when the user approaches the asset, the exact position of asset is estimated by the BLE trilateration method. The experimental result showed that the BLE trilateration positioning achieved 90% accuracy within 1.21 m. Therefore, the proposed method can effectively assist users to locate and track assets in a large building.