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Abstract:
Accuracy Characterization for Metropolitan-scale Wi-Fi Localization
Yu-chung Cheng,
Yatin Chawathe,
Anthony LaMarca, and
John Krumm
Location systems have long been identified as an important component
of emerging mobile applications. Most research on location systems
has focused on precise location in indoor environments. However,
many location applications (for example, location-aware web search)
become interesting only when the underlying location system is
available ubiquitously and is not limited to a single office
environment. Unfortunately, the installation and calibration
overhead involved for most of the existing research systems is too
prohibitive to imagine deploying them across, say, an entire
city. In this work, we evaluate the feasibility of building a
wide-area 802.11 Wi-Fi-based positioning system. We compare a suite
of wireless-radio-based positioning algorithms to understand how
they can be adapted for such ubiquitous deployment with minimal
calibration. In particular, we study the impact of this limited
calibration on the accuracy of the positioning algorithms. Our
experiments show that we can estimate a user's position with a
median positioning error of 13--40 meters (depending upon the
characteristics of the environment). Although this accuracy is lower
than existing positioning systems, it requires substantially lower
calibration overhead than existing indoor positioning systems and
provides easy deployment and coverage across large metropolitan
areas. Moreover, unlike GPS, it does not require line of sight to
the sky and consequently works in areas where GPS does not (indoors
and in dense urban environments).
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