LoRaWAN VA MQTT TEXNOLOGIYALARI ASOSIDA SANOAT IoT TIZIMLARIDA MA’LUMOTLARNI INTELLEKTUAL YIG‘ISH VA QAYTA ISHLASH ALGORITMI
Keywords:
Industrial Internet of Things, Industrial IoT, LoRaWAN, MQTT, sensor network, intelligent data collection, data filtering, anomaly detection, prioritization, real-time monitoring, data processingAbstract
This article proposes an intelligent algorithm for collecting, filtering,
prioritizing, and processing sensor data in Industrial Internet of Things (IIoT) systems
based on LoRaWAN and MQTT technologies. The investigated IoT architecture
consists of sensor nodes, a LoRaWAN gateway, an MQTT broker, and a data
processing server. The proposed algorithm manages data transmission by taking into
account changes in sensor readings, deviations from predefined threshold values, and
the information priority of the collected data. The effectiveness of the algorithm was
evaluated by comparison with a conventional periodic data transmission approach.
The model experiment showed that intelligent filtering reduced the number of MQTT
messages by 39.0 %, increased the packet delivery ratio from 91.8 % to 96.4 %, and
