Management Models for Wireless Communication Channel Interference Monitoring

In modern wireless communication systems, ensuring reliable data transmission amidst interference is a critical challenge. Interference can arise from natural conditions, such as weather and terrain, or from artificial sources like other wireless devices sharing the same frequencies. This paper examines management models for monitoring interference in wireless communication channels using LoRa technology at two frequencies: 170 MHz and 433 MHz. By employing dual independent radio channels, communication redundancy is achieved, enhancing system resilience against interference. The STM32 microcontroller is utilized to provide intelligent control and real-time monitoring of the channels. Two distinct management models-feedback and cascade-are developed and compared in terms of transmission reliability, interference immunity, and resource efficiency. The findings provide insights into optimizing wireless communication systems, particularly for applications in critical sectors such as industrial sensor networks and transport systems.