A comparative analysis of Indoor WiFi Positioning at a large building complex

Research output: Research - peer-reviewArticle in proceedings

DOI

Indoor Positioning based on WiFi has received
extensive focus from research communities, owing its promises of
ubiquitous positioning indoors for a variety of applications. The
majority of the existing research on WiFi positioning centers
around the improvement of positioning accuracy. However, to
this end there is missing a unanimous evaluation methodology
appropriately reflecting criteria relevant in real-world use. Assessing
and advancing the state-of-the-art is often hindered by
incomparable evaluation settings, and in many cases a missing
rigor in describing evaluation methodology, metrics, and data
collection, which is often decoupled from realistic use scenarios
and their diversity. This leads to major challenges—and often
disappointments—when implementing positioning methods in the
hope of the promised accuracies. We believe that this holds especially
in large real world environments, as only few experimental
evaluations have been reported in such environments.

This paper presents a comparative evaluation of several
indoor positioning techniques set at a large university hospital
spanning 160, 000m2—an environment where several location and
context-aware logistic applications are in daily use. The
positioning methods covered utilizes received signal strength from
existing WiFi infrastructure to ease deployment and maintenance.
We identify meaningful key metrics which describe different
aspects of the methods’ performance. Using these metrics, we
furthermore report on experiences with implementing and using
indoor positioning solutions in a highly diverse environment, in
which building types and materials, as well as building use differ
across the complex. Correspondingly, the evaluation data we use
is gathered at different complex parts, days, and daytimes, and
both at static locations as well as traveling within the building
complex. Our results illustrate and quantify the challenges and
breakdowns in transferring performance results from a small
controlled setting, such as a small office environment, to a large
dynamic building complex.
Original languageEnglish
Title of host publication2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
EditorsJuan Jesús García Domínguez, Álvaro Hernández Alonso, Jesús Ureña Ureña
Number of pages8
PublisherIEEE Press
Publication year2016
ISBN (print)978-1-5090-2426-1
ISBN (Electronic)978-1-5090-2425-4
DOIs
StatePublished - 2016
Event2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Madrid, Spain
Duration: 4 Oct 20167 Oct 2016
Conference number: 7
http://www3.uah.es/ipin2016/

Conference

Conference2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Nummer7
LandSpain
ByMadrid
Periode04/10/201607/10/2016
Internetadresse
SeriesIPIN

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