Back to results

University of Ontario Institute of Technology

Design and measurement of antennas within lossy materials for IoT applications

Abstract

dc:description.abstract

Internet of Things (IoT) technology for asset tracking in the transportation and logistics industry relies on wireless electronic communicating devices, often encapsulated with lossy filler materials which cause issues for the embedded antennas. This thesis studies methods of enhancing antenna radiation efficiency in such situations along with an improved, low-cost way of measuring radiation efficiency. Multiple modified Wheeler caps are compared to a conventional design to obtain improved accuracy of the calculated radiation efficiency. The proposed adjustable-length Wheeler cap was verified in simulation and experimentally to significantly reduce the average error over a typical IoT antenna’s operating bandwidth. Furthermore, artificial magnetic conductors in conjunction with 1 cm3 air gaps are examined as methods of improving the radiation efficiency of both directional and omni-directional antennas placed near metal and encapsulated in resin, yielding up to 18% improvement in radiation efficiency.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Howorth, Joshua
Advisors dc:contributor.advisor
  • Wang, Ying
  • Roy, Langis

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1885
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1885

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Howorth, Joshua. Design and measurement of antennas within lossy materials for IoT applications. University of Ontario Institute of Technology, 2023. https://hdl.handle.net/10155/1885