Testing of Emerging Wireless Sensor Networks using Radar Signals with Machine Learning Algorithms

to develop an effective framework for evaluating and analyzing wireless sensor networks through radar-based signal processing. It aims to apply machine learning algorithms to accurately detect patterns, enhance testing efficiency, and improve network performance assessment. Furthermore, the objective is to ensure reliable, adaptive, and intelligent testing methods for next-generation wireless sensor networks.