| description |
Location-awareness is highly relevant subject in ubiquitous
computing, as many applications exploit location information to
provide adequate services or adapt to a changing physical
environment. While GPS provides reliable outdoor localization,
indoor positioning systems present a bigger challenge. Many indoor
localization systems have been proposed. However, most of them rely
on customized hardware or presume some dedicated infrastructure. In
this paper, we focus on WLAN-based localization in smart ubiquitous
environments. We propose an improved scheme of the Weighted Centroid
Localization (WCL) algorithm that is robust and provides higher
location accuracy than the original WCL algorithm. The improvements
are based on the use of dynamic weighting factors that are solely
dependent on the correlation of the Received Signal Strength
Indicators of the received beacon signals. Compared to the original
WCL scheme, our approach does not increase requirements to the
environment. Real-world experiments in a typical environment that we
report on in this paper confirm that the increased location accuracy
determined in previous calculations is reproducible in a realistic
noisy environment. This provides a simple, cost-efficient, and
battery-conserving, but yet adequate technique for getting the
accurate location information of mobile devices.
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