How much can we trust RSSI for the IoT indoor location-based services?
Date Issued
2017-09-21
Author(s)
Risteska Stojkoska, Biljana
Nižetić Kosović, Ivana
Jagušt, Tomislav
Abstract
One of the key challenges in the ever-changing
ubiquitous computing environment of Internet of Things is
accurate determination of each of its’ elements location. Indoor
localization for smartphones has been in line with this research
initiatives in the last decade, along with the inherited background
from wireless sensor networks perspective. Therefore, most of the
algorithms from the literature are based on distance
measurements obtained from radio signal strength ranging
technique and evaluated mostly through simulations. In this
paper, we experimentally evaluated a well-known technique for
localization based on multidimensional scaling, using different
models of smartphones. Additionally, we analyzed the behavior of
the signal strength measured by the smartphones under different
field condition. From our results, we concluded that radio signal
strength indicator should be combined with more accurate
ranging techniques into hybrid solutions to be used for indoor
localization of smartphones.
ubiquitous computing environment of Internet of Things is
accurate determination of each of its’ elements location. Indoor
localization for smartphones has been in line with this research
initiatives in the last decade, along with the inherited background
from wireless sensor networks perspective. Therefore, most of the
algorithms from the literature are based on distance
measurements obtained from radio signal strength ranging
technique and evaluated mostly through simulations. In this
paper, we experimentally evaluated a well-known technique for
localization based on multidimensional scaling, using different
models of smartphones. Additionally, we analyzed the behavior of
the signal strength measured by the smartphones under different
field condition. From our results, we concluded that radio signal
strength indicator should be combined with more accurate
ranging techniques into hybrid solutions to be used for indoor
localization of smartphones.
Subjects
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