Indoor localization is a key research area and has been stated as a major goal for Sixth
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …

The proliferation of Wi-Fi devices has led to the rise of privacy concerns related to MAC
Address-based systems used for people tracking and localization across various …

Crowdsourcing dramatically benefits WiFi fingerprinting localization in reducing the costs of
collecting received signal strength (RSS) data during offline site survey and has gained …

The use of Radio map fingerprinting, which relies on a received signal strength indicator
(RSSI), is a popular indoor positioning method that offers high accuracy and cost-effective …

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 …

The weighted-nearest neighbors (WKNN) algorithm is a widely adopted lightweight
methodology for indoor WiFi positioning based on location fingerprinting. Nonetheless, it …

Smart lighting systems can reduce energy consumption by controlling lights according to the
distribution of personnel. Most of the current smart lighting systems using vision-based …

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 …

With the rapid development of wireless communication and smart devices, crowdsensing
applications became popular due to their flexibility to deploy and low cost use. Incentive …

This paper describes an automated method for the calibration of RSS-fingerprinting-based
positioning systems. The method assumes using a robotic platform to gather fingerprints in …