| dc.description.abstract | The benefits of context aware computing and
specifically the context that location can provide to applications
and systems has been heavily documented in recent times.
Moreover the move from traditional outdoor localization
solutions to the indoor arena has seen a dramatic increase in
research into this area. Most of this research has surrounded the
problem of positioning accuracy, with attempts to solve this using
a myriad of technologies and algorithms. One of the problems
that seems to be somewhat overlooked is the issue of coverage in
an indoor localization solution. The mostly unobstructed views of
the Global Positioning System (GPS) which requires a mere 30
satellites to provide global coverage never had these problems.
The dearth of literature around this issue in the outdoor arena is
testament to this fact. Unfortunately unobstructed views are not
something that can be achieved in most indoor environments and
economical as well as physical barriers can prevent the
installation of an infrastructure to achieve total coverage. In this
paper we propose a solution to this issue of indoor coverage by
deploying a solution to extend the range of a positioning system -
Cooperatively Applied Positioning Techniques Utilizing Range
Extension (CAPTURE). CAPTURE provides a system to locate
devices that cannot be reached by an in-house location based
system. It presents a unique contribution to research in this field
by offering the ability to utilize devices that currently know their
location within a Location Based Solution (LBS), to help evaluate
the position of unknown devices beyond the range capacity of the
LBS. Effectively extending the locating distances of an Indoor
LBS by utilizing the existing mobile infrastructure without the
requirement for additional hardware. CAPTURE uses the
Bluetooth radios on mobile devices to estimate the distance
between devices, before inserting these range estimates into a
trilateration algorithm to ascertain position. CAPTURE has been
tested through experiments carried out in a real world
environment, proving the capacity to provide a solution to the
ranging issue. | en |
