A LoRa Networking Method for Distributed Queue Protocol with Adaptive Competition

Aiming at the adaptation problem of distributed queue protocol in LoRa, this paper designs an improved networking method, which realizes the recognition of contention state through node random code, and optimize the selection of contention time slots and contention groups to solve the problems of initial contention failure, excessive control overhead and low energy efficiency. The simulation results show that the improved DQ protocol is superior to the traditional ALOHA and CSMA protocols in throughput, energy consumption and network scalability. Compared with the traditional DQ-LoRa protocol, the throughput is improved by more than 7% when short data is uploaded and there are many nodes competing at the same time, which provides an effective solution for LoRa networking in the industrial Internet of Things.