Received Signal Strength

Received Signal Strength (RSS) analysis focuses on determining the strength of a received radio signal to infer information about the transmitting source or the propagation environment. Current research emphasizes using machine learning, particularly artificial neural networks (ANNs) and graph neural networks (GNNs), to improve the accuracy and efficiency of RSS-based localization, mapping, and spoofing detection. These techniques are applied across diverse fields, including robotics, IoT, and wireless communication networks, with applications ranging from precise source localization to robust radio environment mapping. The improved accuracy and efficiency offered by these advanced methods are driving significant advancements in various location-aware applications.