This study examines how the application of the IoT in smart cities is discussed in the current
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the …

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 …

An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor
scenarios has been sought for many years. The number of technologies, techniques, and …

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 …

Currently there is no standard indoor positioning system, similar to outdoor GPS. However,
WiFi signals have been used in a large number of proposals to achieve the above …

Indoor localization algorithms based on the received signal strength indicator (RSSI) in
wireless sensor networks (WSNs) have higher localization accuracy than other range-free …

Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards
for outdoor positioning such as GPS. Among the different existing studies on indoor …

Location-based services (LBS) have gained increasing importance in our everyday lives
and serve as the foundation for many smartphone applications. Whereas Global Navigation …

In this paper, we propose two data augmentation schemes for deep learning architecture
that can be used to directly estimate user location in an indoor environment using mobile …

In the indoor location field, the quality of received-signal-strength-indicator (RSSI)
fingerprints plays a key role in the performance of indoor location services. However …