Date Available

4-18-2017

Year of Publication

2017

Document Type

Master's Thesis

Degree Name

Master of Science in Mechanical Engineering (MSME)

College

Engineering

Department/School/Program

Mechanical Engineering

Advisor

Dr. Johné Parker

Abstract

Recently, the Internet of things (IoT) has emerged as a promising solution for several industrial applications. One of the key components in IoT is passive radio frequency identification (RFID) tags which do not require a power source for operations. Specifically, ultra-high frequency (UHF) tags are studied in this paper. However, due to factors such as tag-to-tag interference and inaccurate localization, RFID tags that are closely spaced together are difficult to detect and program accurately with unique identifiers. This thesis investigates several factors that affect the ability to encode a specific tag with unique information in the presence of other tags, such as reader power level, tag-to-antenna distance, tag-to-tag distance and tag orientation. ANOVA results report reader power level and tag spacing, along with effect interactions power level*tag spacing and tag spacing*tag orientation to be significant at the levels investigated. Results further suggest a preliminary minimum tag-to-tag spacing which enables the maximum number of tags to be uniquely encoded without interference. This finding can significantly speed up the process of field programming in item-level tagging.

Digital Object Identifier (DOI)

https://doi.org/10.13023/ETD.2017.093

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