Enhancing counterfeit tag detection for RFID system using slotted aloha
Radio Frequency Identification (RFID) is a technology that is used for wireless monitoring, tracking and identification of an object. RFID is also used in inventory processes for RFID counterfeit detection and identification to reduce financial loss caused by shrinkage. Counterfeiting is a serio...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6497/1/24p%20YUSUF%20MUSA.pdf http://eprints.uthm.edu.my/6497/2/YUSUF%20MUSA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/6497/3/YUSUF%20MUSA%20WATERMARK.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Radio Frequency Identification (RFID) is a technology that is used for wireless
monitoring, tracking and identification of an object. RFID is also used in inventory
processes for RFID counterfeit detection and identification to reduce financial loss
caused by shrinkage. Counterfeiting is a serious challenge in the current supply chain,
resulting in millions of dollars in lost income for the parties involved each year. The
recent works on counterfeit detection are based on cardinality contradiction and cloned
detection which assumed that both counterfeit and genuine tags most be in the system
before it can detect counterfeit. However, this assumption will not work if one of the
tags is not in the system. As a result of this research, RMD was proposed, which entails
the usage of the SLOTTED ALOHA in order to improve the detection time and
accuracy through collision verification and counterfeit detection. The collision
verification was introduced at the first stage to increase the status of single slots which
gives the system the ability to uniquely detect each tag without arbitration. The track
sequence number (TSN) was integrated with the time of arrival (TOA) at the detection
stage to check the sequence process for the entire system from one stage to another,
thus giving the system the capability to uniquely differentiate between counterfeit tag
and the genuine tag. In comparison with FSA- CSS, MAP, and DFSA, experimental
results show that the RMD algorithm outperforms other algorithms with high
throughput performance of 45 unit/s, an average detection accuracy of 98% and low
detection time of 0.10s. This indicates that highest detection accuracy, high
throughput performance and lowest detection time (i.e., fast detection) can effectively
be achieved by RMD algorithm. The optimization of the counterfeit tags detection
algorithm with TSN and TOA is therefore competent and sufficient for addressing the
shrinkage of inventory. |
|---|