Indoor localization based on Wi-Fi received signal strength indication (RSSI) has the
advantage of low cost and easy implementation compared with a range of other localization …

Targeting of diagnostic and therapeutic agents to endothelial cells (ECs) provides an avenue
to improve treatment of many maladies. For example, intercellular adhesion molecule 1 (…

The weighted K-nearest neighbor (WKNN) algorithm is one of the most frequently used
algorithms for indoor positioning. However, the traditional WKNN algorithm weights the reference …

This paper first proposes a new clustering algorithm for selection of reference points (RPs)
based on virtual positions of access points for indoor localization in area without linear …

Ambiguity resolution (AR) is crucial for high-precision indoor pseudolite positioning. Due to
the existing characteristics of the pseudolite positioning system, such as the geometry …

Purpose This paper aims to introduce the weighted squared Euclidean distance between
points in signal space, to improve the performance of the Wi-Fi indoor positioning. Nowadays, …

This paper proposes an empirical model of RSSI radio map in order to improve the indoor
positioning accuracy of Wi-Fi RSSI. First, the signal feature point in RSSI space is proposed …

This paper focuses on WiFi indoor positioning based on received signal strength, a common
local positioning approach with a number of prominent advantages such as low cost and …

Reference point (RP)-based methods such as K nearest neighbor (KNN) and k-means are
frequently used for indoor location using received signal strength indicator fingerprints. …

Reference points (RP) clustering methods such as K-means are frequently used to reduce the
region of search in most of fingerprint clustering algorithms. However, traditional clustering …