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 …

Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …

Ultra-wide band (UWB) localization system suffers from deteriorating performance in
complex scenes, especially in non-line-of-sight (NLOS) conditions. In order to improve the …

Fifth-generation (5G) networks have been massively deployed in commerce. In addition, the
new features introduced by 5G networks have been recognized to be beneficial to wireless …

Location-based service (LBS) has become an indispensable part of our daily lives.
Realizing accurate LBS in indoor environments is still a challenging task. WiFi fingerprinting …

When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

In recent years, wireless sensor networks (WSNs) have been widely used in various
applications. The localization problem has been identified as one of the biggest problems …

Positioning using Wi-Fi received signal strength indication (RSSI) signals is an effective
method for identifying the user positions in an indoor scenario. Wi-Fi RSSI signals in an …