RFID-Assisted Indoor Localization Using Hybrid Wireless Data Fusion
This work addresses indoor object tracking for IoT applications, but it is incremental as it combines existing technologies in a hybrid framework.
The paper tackles indoor localization by proposing a hybrid method that uses RFID tags on section borders to identify areas and fuses data from multiple IoT wireless technologies (Bluetooth, WiFi, ZigBee) to locate objects within sections, with experimental results verifying the analytical approach.
Wireless localization is essential for tracking objects in indoor environments. Internet of Things (IoT) enables localization through its diverse wireless communication protocols. In this paper, a hybrid section-based indoor localization method using a developed Radio Frequency Identification (RFID) tracking device and multiple IoT wireless technologies is proposed. In order to reduce the cost of the RFID tags, the tags are installed only on the borders of each section. The RFID tracking device identifies the section, and the proposed wireless hybrid method finds the location of the object inside the section. The proposed hybrid method is analytically driven by linear location estimates obtained from different IoT wireless technologies. The experimental results using developed RFID tracking device and RSSI-based localization for Bluetooth, WiFi and ZigBee technologies verifies the analytical results.