In recent times, social and commercial interests in location-based services (LBS) are
significantly increasing due to the rise in smart devices and technologies. The global …

Efficient localisation plays a vital role in many modern applications of Unmanned Ground
Vehicles (UGV) and Unmanned Aerial Vehicles (UAVs), which contributes to improved …

Although various linear log-distance path loss models have been developed for wireless
sensor networks, advanced models are required to more accurately and flexibly represent …

The WiFi-based fingerprint indoor-positioning system has attracted increasing interest from
industry and academia, benefiting from the widespread deployment of the wireless local …

Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a
pattern recognition method that compares the captured operational fingerprint with a set of …

WiFi fingerprint positioning has been widely used in the indoor positioning field. The
weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic …

Numerous indoor positioning technologies and systems have been proposed to localize
people and objects in large buildings. Wi-Fi and Bluetooth positioning systems using …

The fingerprint positioning has achieved remarkable results in indoor localization tasks, but
the method usually relies on a large amount of fingerprint data to build a fingerprint …

With recent advancements in the telecommunication industry and the deployment of 5G
networks, radio propagation modeling is considered a fundamental task in planning and …

We address the problem of indoor localization based on WiFi signal strengths. We develop a
semi-supervised deep learning method able to train a prediction model from a small set of …