关键词: 物联网, LoRa网络, 低功耗广域网, 正交遗传算法, 参数组合

Abstract: Aiming at the problem that LoRa network for static parameter settings of the end devices leads to less flexibility and low communication efficiency, a dynamic parameter selection method based on orthogonal genetic algorithm to improve the scalability of LoRa networks is proposed. The influence of different LoRa transmission parameters on communication performance is analyzed, then the channel conflict access and link budget models are established respectively. A dynamic resource selection algorithm based on multi-objective orthogonal genetic algorithm is introduced to solve the model, and ultimately the parameters with minimized collision probability are obtained. By simulating the single gateway LoRa network of nearly over 10 000 devices, the experimental results show that the dynamic parameter selection algorithm proposed in this paper can improves the Packet Delivery Rate（PDR） of the network 30%, which significantly improve the adaptability and scalability of the network in different application scenarios.

Key words: Internet of Things, LoRa network, low power wide-area network, orthogonal genetic algorithm, transmission parameter combination