In Wi-Fi fingerprint positioning, what we should most care about is the distance relationship
between the user and the reference points (RP). However, most of the existing weighted k …

-nearest neighbors (KNN) algorithms are widely used for indoor fingerprint positioning, but
conventional KNN algorithms usually adopt received signal strength (RSS) similarity as a …

Wi-Fi deployed inside a building can be used for positioning indoor users. A commonly used
technology is weighted K-nearest neighbor (WKNN) fingerprint which positions a user based …

WiFi fingerprint positioning has been widely used in the indoor positioning field. The
weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic …

With the increasing demand for location-based services, Wi-Fi-based indoor positioning
technology has attracted much attention in recent years because of its ubiquitous …

K-nearest neighbour is one of the most widely used algorithms for indoor positioning
systems. However, the error for each estimated position notably varies depending on the K …

Wi-Fi technology has become an important candidate for localization due to its low cost and
no need of additional installation. The Wi-Fi fingerprint-based positioning is widely used …

Recently, the fingerprint-based wireless local area network (WLAN) positioning has gained
significant interest. A probability distribution-aided indoor positioning algorithm based on the …

With the development of the wireless communication technology and intelligent mobile
phone, the positioning services based on Wi-Fi and mobile phone are increasingly …

Wi-Fi fingerprint systems provide cost-effective and reliable solution for indoor positioning.
However, such systems incur high calibration cost in the training phase and high searching …