The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has
significantly increased the demand for Location-Based Services (LBS) in today's world …

Energy efficiency and safety are two essential factors that play a significant role in operating
a wireless sensor network. However, it is claimed that these two factors are naturally …

Indoor localization has broad application prospects, but accurately obtaining the location of
test points (TPs) in narrow indoor spaces is a challenge. The weighted K-nearest neighbor …

Indoor localization techniques have been extensively studied in the last decade. The well-
established technologies enable the development of Real-Time Location Systems (RTLS). A …

In recent years, indoor positioning systems (IPSs) have received attention from many
research fields, such as robotics, navigation, human–computer interaction, etc. However …

This paper proposes a long-range (LoRa)-based outdoor localization and tracking method.
Our method presents an unsupervised localization approach that utilizes symbolized LoRa …

The unpredictable noise in received signal strength indicator (RSSI) measurements in
indoor environments practically causes very high estimation errors in target localization …

Low‐power localisation systems are crucial for machine‐to‐machine communication
technologies. This article investigates LoRa technology for localisation using multiple …

The localization problem in wireless sensor networks (WSN) has recently received justifiable
interest from researchers. Various optimization/learning algorithms are used to determine …

Ultra-wideband (UWB) systems promise centimetre-level accuracy for indoor positioning, yet
they remain susceptible to non-line-of-sight (NLOS) errors due to complex indoor …