College of Computing, Engineering & Construction
Master of Science (MS)
NACO controlled Corporate Body
University of North Florida. School of Computing
Dr. Zornitza G. Prodanoff
Dr. Sanjay P. Ahuja
Dr. Kenneth E. Martin
Dr. Asai Asaithambi
Dr. Mark A. Tumeo
Over the years, RFID (radio frequency identification) technology has gained popularity in a number of applications. The decreased cost of hardware components along with the recognition and implementation of international RFID standards have led to the rise of this technology.
One of the major factors associated with the implementation of RFID infrastructure is the cost of tags. Low frequency (LF) RFID tags are widely used because they are the least expensive. The drawbacks of LF RFID tags include low data rate and low range. Most studies that have been carried out focus on one frequency band only. This thesis presents an analysis of RFID tags across low frequency (LF), high frequency (HF), and ultra-high frequency (UHF) environments.
Analysis was carried out using a simulation model created using OPNET Modeler 17. The simulation model is based on the Basic Frame Slotted ALOHA (BFSA) protocol for non-unique tags.
As this is a theoretical study, environmental disturbances have been assumed to be null. The total census delay and the network throughput have been measure for tags ranging from 0 to 1500 for each environment. A statistical analysis has been conducted in order to compare the results obtained for the three different sets.
Bhogal, Varun, "Analysis of BFSA Based Anti-Collision Protocol in LF, HF, and UHF RFID Environments" (2014). UNF Graduate Theses and Dissertations. 511.