Radio Frequency Identification (RFID) Integrated System for Security Measures in IoT Applications
Santosh Kumar Upadhyaya

Santosh Kumar Upadhyaya, Cisco Systems, Senior Technical Leader, Cisco Systems, Senior Technical Leader.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 01, 2020. | Manuscript published on March 09, 2020. | PP: 4154-4160 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9360038620/2020©BEIESP | DOI: 10.35940/ijrte.F9360.038620

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Abstract: This study presents a low frequency RFID (LF-RFID) sensing system integrated with Internet of Things (IoTs) to detect and characterize corrosion. The LF-RFID sensing sys-tem comprises of a tag and reader inductively linked with each other. Tag interacts with corroded metal through eddy currents and measure changes in corroded surface conductivity and per-meability. Sensitivity and impedance of LF-RFID sensor varies with distance between tag to reader; which is adjusted to find the optimum working range. The static and transient features of LF-RFID sensor signal is used to characterize corrosion at low com-putational rate. The size of commercial low frequency tags is very small compared to structures in practice. So, IoTs is used to make a wireless sensor network of proposed sensing system. Re-sults showed an enhancement in sensitivity to corrosion charac-terization at optimum distance between tag and reader. Using IoTs, several sensors are cascaded to make WSN and enable monitoring a wide structural area.
Keywords: LF RFID, Feature extraction, Feature selection, Corrosion characterization, Non-destructive testing and evalua-tion (NDT&E).
Scope of the Article: Security Service Systems.