In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Indoor localization has the capability to change the way of providing location-based services
in a closed environment and has more potential than that of GPS if the present shortcomings …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …

WiFi fingerprinting, one of the most popular methods employed in indoor positioning,
currently faces two major problems: lack of robustness to short and long time signal changes …

Accurate indoor location information in multi-building/floor environments is essential for
establishing many indoor location-based services (LBS). Wi-Fi fingerprinting with received …

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 …

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 …

The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Indoor map is a fundamental element of indoor location-based services (ILBS). However,
traditional indoor mapping techniques are labor-intensive and time-consuming. The …