Abstract Several Wireless Fidelity (WiFi) fingerprint datasets based on Received Signal
Strength (RSS) have been shared for indoor localization. However, they can't meet all the …

Wi-Fi Received Signal Strength (RSS) based indoor localization is promising and widely
investigated due to the pervasive deployment of Wi-Fi Access Points (APs). However, one …

In this letter, a novel localization scheme is reported to improve WiFi fingerprint-based
localization via dimensionality reduction and an adaptive fingerprint matching algorithm …

The indoor positioning service is one of the essential services needed in the Internet of
Things ecosystem. Recently, many researchers have focused on the fingerprinting method …

A new approach for indoor positioning is presented, aimed at designing a WiFi positioning
system that is feasible and convenient for both service providers and end users. In the …

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 …

Machine Learning framework adds a new dimension to the localization estimation problem.
It tries to find the most likely position using processed features in a radio map. This paper …

The accuracy of WiFi fingerprint-based localization is related to the number of reference
points, generally, to obtain better positioning accuracy, enough samples must be collected …

Wi-Fi based indoor localization has attracted great interest due to its ubiquitous access in
many indoor environments. However, the accuracy is deteriorated by the complex indoor …

Data enrichment through interpolation or regression is a common approach to deal with
sample collection for Indoor Localization with WiFi fingerprinting. This paper provides …