Simulation of Sensor Data Processing via Cellular Neural Networks on an IoT Platform

Authors- Nguyen Tai Tuyen

Abstract-This page focuses on the development of a multifunctional wireless information sensor module designed for AIoT systems, aiming to improve the efficiency of data collection, processing and analysis. The unique feature of the module lies in the integration of a Cellular Neural Network (CeNN) algorithm, which enables advanced data processing right at the sensor. The module was tested in two typical applications: fire warning and surface water monitoring. The results showed outstanding performance in terms of accuracy, data transmission speed and energy efficiency, confirming the potential for practical deployment in many fields.

DOI: /10.61463/ijset.vol.12.issue6.379