We propose an accurate and calibration-free WiFi localization approach using received
signal strength (RSS) to mitigate the impact of RSS variations caused by changing …

This paper propose a deep regression model for WiFi localization using received signal
strength (RSS). In the offline phase, we first construct RSS fingerprints at all grid points in a …

With the growth of WLAN infrastructure, received signal strength (RSS) fingerprint-based
WiFi indoor positioning systems have received considerable attention recently. Some …

The main drawback for large-scale applications of WiFi-based localization is the varying
characteristics of received signal strength (RSS), which degenerates the localization …

Fusing the predictions of multiple received signal strength (RSS)-based classifiers is an
efficient strategy to mitigate the impact of the fluctuation of the RSS. However, most of the …

Passive WiFi localization refers to determining the location of WiFi-enabled mobile devices
by deploying dedicated WiFi access points to sniff WiFi packets transmitted by these mobile …

Among numerous indoor localization systems proposed during the past decades, WiFi
fingerprint-based localization has been one of the most attractive solutions, which is known …

Due to the free deployment of the additional network infrastructure, WiFi-based indoor
localization has drawn researchers' attention in recent years. However, the accuracy and …

It is notable that localization accuracy using received signal strength (RSS) fingerprints
solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned …

With the prevalence of WiFi devices (eg, smartphones), many new business opportunities
are being spawned by exploiting the routes or locations of users. Nevertheless, most current …