RFID-Assisted Indoor Localization Using Hybrid Wireless Data Fusion
Abouzar Ghavami Ali Abedi
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.