2026-09-21T19:44:47Zhttps://mro.massey.ac.nz/server/oai/requestoai:mro.massey.ac.nz:10179/154042026-08-30T22:54:58Zcom_10179_294col_10179_296
Massey Research Online
author
Konings, Daniel
2020-06-19T03:22:59Z
2020-06-19T03:22:59Z
2019
http://hdl.handle.net/10179/15404
Q112447220
https://www.wikidata.org/wiki/Q112447220
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.
en
The Author
Indoor positioning systems (Wireless localization)
Wireless sensor networks
Home automation
Design and construction
Dean's List of Exceptional Theses
Indoor localization utilizing existing infrastructure in smart homes : a thesis by publications presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer and Electronics Engineering, Massey University, Albany, New Zealand
Thesis
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URL
https://mro.massey.ac.nz/bitstreams/e7f170df-e802-4a5a-b724-7e97261308ca/download
File
MD5
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application/pdf
KoningsPhDThesis.pdf
URL
https://mro.massey.ac.nz/bitstreams/055d538e-3cff-44a3-951e-a39ae7a7f498/download
File
MD5
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text/plain
KoningsPhDThesis.pdf.txt