Currently, WiFi (or IEEE 802.11) enabled infrastructures and devices have become
ubiquitous, which makes it promising to provide indoor positioning services via WiFi signals …

In this paper, a real WiFi fingerprint-based indoor localization system is considered, where
three primary components including the APP in smart phone, the server system and the …

Location estimation in Wi-Fi environment has gained considerable attention over the past
years, and the Cramer-Rao Lower Bound (CRLB) can be used to evaluate the performance …

The radio map built during the offline phase of any WiFi fingerprint-based localization
system usually scales with the number of WiFi access points (APs) that can be detected at a …

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 …

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

In this paper, we propose an improvement of the traditional Weighted K-Nearest Neighbors
(WKNN) that is pervasively used in most WiFi fingerprint-based approaches for indoor …

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 …

WiFi-Fingerprint is extensively utilized for indoor localization with the advent of the high-
density wireless networks deployment and research on ubiquitous intelligence …

Indoor localization becomes a raising demand in our daily lives. Due to the massive
deployment in the indoor environment nowadays, WiFi systems have been applied to high …