Research on LoRa gateway link quality assessment methodology

In the process of communication in Long Range Radio (LoRa) wireless networks, the data transmission link quality is mainly affected by link interference and RF parameter configuration. The traditional LoRa networks cannot discern the changes of transmission links, and there are unreasonable phenomena for resource allocation, resulting in the waste of resources, reducing the network scale, and the reliability and stability of communication cannot be guaranteed. To address the problems of the existing LoRa wireless network research, this paper constructs a link quality evaluation model at the LoRa gateway and proposes a link quality evaluation method based on AWOA-BP (the Whale Optimization Algorithm with Adaptive weights and search strategy-Back Propagation) neural network to realize real-time monitoring and evaluation of link quality.