In unmanned aerial vehicle (UAV) networks, high-capacity data transmission is of utmost importance for applications such as intelligent transportation, smart cities, and forest monitoring, which rely on the mobility of UAVs to collect and transmit large amount of data, including video and image data. Due to the short flight time of UAVs, the network capacity will be reduced when they return to the ground unit for charging. Hence, we suggest that UAVs can apply a store-carry-and-forward (SCF) transmission mode to carry packets on their way back to the ground unit for improving network throughput. In this paper, we propose a novel protocol, named UAV delay-tolerant multiple access control (UD-MAC), which can support different transmission modes in UAV networks. We set a higher priority for SCF transmission and analyze the probability of being in SCF mode to derive network throughput. The simulation results show that the network throughput of UD-MAC is improved by 57% to 83% compared to VeMAC.

翻译：在无人机网络中，高容量数据传输对于依赖无人机移动性来收集和传输包括视频和图像数据在内的大量数据的应用（如智能交通、智慧城市和森林监测）至关重要。由于无人机飞行时间较短，当其返回地面单元充电时，网络容量会降低。因此，我们建议无人机可采用“存储-携带-转发”（SCF）传输模式，在返回地面单元的途中携带数据包，以此提升网络吞吐量。本文提出一种名为“无人机时延容忍多址接入控制”（UD-MAC）的新型协议，该协议能够支持无人机网络中的不同传输模式。我们为SCF传输设置更高优先级，并通过分析处于SCF模式的概率来推导网络吞吐量。仿真结果表明，与VeMAC相比，UD-MAC的网络吞吐量提升了57%至83%。