Abstract
Indoor positioning system (IPS) have received significant interest from the research
community over the past decade. However, this has not eventuated into widespread adoption
of IPS and few commercial solutions exist. Integration into Smart Homes could allow for
secondary services including location-based services, targeted user experiences and intrusion
detection, to be enabled using the existing underlying infrastructure. Since New Zealand has
an aging population, we must ensure that the elderly are well looked after. An IPS solution
could detect whether a person has been immobile for an extended period and alert medical
personnel. A major shortcoming of existing IPS is their reliance on end-users to undertake a
significant infrastructure investment to facilitate the localization tasks. An IPS that does
not require extensive installation and calibration procedures, could potentially see
significant uptake from end users. In order to expedite the widespread adoption of IPS
technology, this thesis focuses on four major areas of improvement, namely: infrastructure
reuse, reduced node density, algorithm improvement and reduced end user calibration
requirements. The work presented demonstrates the feasibility of utilizing existing wireless
and lighting infrastructure for positioning and implements novel spring-relaxation and
potential fields-based localization approaches that allow for robust target tracking, with
minimal calibration requirements. The developed novel localization algorithms are
benchmarked against the existing state of the art and show superior performance.
Date
2019
Rights
The Author
Publisher
Massey University
Description
Listed in 2019 Dean's List of Exceptional Theses