The Internet of Things (IoT) has revolutionized the world, connecting billions of devices that
offer assistance in various aspects of users' daily lives. Context-aware IoT applications …

Accurate and low-power indoor localization is becoming more and more of a necessity to
empower novel consumer and industrial applications. In this field, the most promising …

Locating devices in indoor environments has become a key issue for many emerging
location-based applications and intelligent spaces in different fields. However, there is …

In recent years, Real-Time Localization Systems (RTLS) are gaining significant attention
from the scientific community. Usually, RLTS rely on positioning techniques based on the …

Indoor positioning systems (IPS) have gained significant attention in research due to the
growing need for reliable location-based services in indoor settings where global navigation …

This work proposes a novel algorithm for robust cooperative localization using wideband
time difference of arrival (TDoA) measurements and information coupling between nodes …

A novel 1.8 GHz far field wireless power transfer (WPT) testbed was designed to achieve a
long-distance energy harvesting in underground mines. Prior experimental studies indicate …

Deep learning-based methods have shown promising performance in CSI-based fingerprint
localization. However, current approaches often adopt feature interaction across different …

The accuracy of radio-based positioning is heavily influenced by a dense multipath (DM)
channel, leading to poor position accuracy. The DM affects both time of flight (ToF) …

For time-of-flight-based wireless positioning systems operating in (dense) multipath
propagation channels, the accuracy is severely influenced by the signal bandwidth, because …