高密度LoRa网络优化方法研究

An optimization method of high density LoRa network

在农业物联网中,LoRa技术被广泛采用。当网络覆盖范围较大时,标准的LoRaWAN协议会增加扩展因子SF,以增大通信距离。然而,由于SF内(指SF取值相同)和SF间(指SF取值不同)冲突的影响,限制了其节点密度,不适合大范围、高密度的部署场景。为满足大范围和高密度部署要求,结合多跳路由方案和扩频因子分配方法对LoRa网络进行优化,以提高网络的节点容量和可靠性。仿真结果表明,通过使用所提出的方法,在基本节点数量大于10000个的LoRa网络内,仍可以获得80%以上的数据包交付率PDR,显著提高了大范围、高密度场景下LoRa网络的可靠性。

LoRa technology is widely used in agricultural Internet of Things.When the network scale is large,the standard LoRaWAN protocol can improve the SF to increase the communication distance.However,due to the co-SF and inter-SF interference,LoRaWAN’s node density is limited,so it is not suitable for large-scale and high-density deployment scenarios.To meet the requirements of the above deployment scenarios,the multi-hop routing scheme and the SF allocation method are combined to optimize the LoRa network,which improves the node capacity and reliability of the network.Simulation results show that,the proposed method can achieve more than 80%Packet Delivery Rate(PDR)in LoRa network with more than 10000 nodes,which significantly improves the reliability of LoRa networks in large-scale and high-density scenarios.