速率自适应LoRa自组网的AODV优化  

Optimization of AODV for rate adaptive LoRa ad hoc networks

作　　者：魏权 陈小莉[1] 田茂[1] Wei Quan;Chen Xiaoli;Tian Mao(Electronic Information School,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学电子信息学院,武汉430072

出　　处：《电子测量技术》2020年第23期128-132,共5页Electronic Measurement Technology

摘　　要：为了提升LoRa自组网的网络吞吐量,提出了一种速率自适应LoRa自组网的AODV优化方法。首先将RBAR速率自适应算法应用于LoRa自组网,使节点在信道质量高时自适应的降低扩频因子(SF),提升数据包传输速率,降低传输时延;然后利用LoRa节点之间的自适应传输速率计算路径时延,在AODV的路由发现过程依据路径时延建立跳数最小且路径时延最低的路由,降低数据包占用信道的时长,提升网络吞吐量。在节点数为20和40的OPNET仿真中,该方法分别使吞吐量提升了13%和20%,表明该方法有效提升了LoRa自组网的网络吞吐量。In order to improve the throughput of LoRa ad hoc network, an optimization method of AODV routing protocol for rate adaptive LoRa ad hoc network is proposed. Firstly, RBAR(received-based auto rate) algorithm is applied in LoRa ad hoc network, so that nodes can adaptively reduce the spread spectrum factor(SF) when channel quality is high, improve the data transmission rate and reduce the transmission delay. Then,in route discovery process of AODV, path delay caculated according to the adaptive transmission rate between LoRa nodes is taken into account to establish route with minimum hop and lowest delay,thus reducing channel occupation time of data packets and improving network throughput. In OPNET simulation with 20 and 40 nodes, the throughput increases by 13% and 20% respectively,shows that this method effectively improves the throughput of LoRa ad hoc network.

关 键 词：LoRa自组网 速率自适应 RBAR AODV 网络吞吐量 

分 类 号：TN925[电子电信—通信与信息系统]