Parallel Acquisition, Processing and Real-Time Visualization of the Spectrum of Wi-Fi Networks
This paper presents the development of a system for parallelized real-time processing of Wi-Fi signals using the ESP32 microcontroller. By utilizing its dual-core architecture and the FreeRTOS operating system, simultaneous acquisition and processing of network data are achieved, resulting in reduced latency and improved system response. The user can select among several processing algorithms – median filter, low-pass filter, autocorrect, moving average, or event detection – with real-time graphical visualization via the Arduino Serial Plotter. The implemented system demonstrates that ESP32 can efficiently execute complex signal processing tasks, making it suitable for IoT devices, presence monitoring systems, and smart environments requiring fast and reliable wireless data analysis.