In unmanned aerial vehicle (UAV)-enabled fog computing networks, how to efficiently offload multiple tasks to the computing nodes is a challenging combinatorial optimization problem. In this paper, in order to optimize the total delay for the UAV-enabled fog computing networks, a simple scheduling algorithm and a multi-task offloading scheme based on fireworks algorithm (FWA) are proposed. First, the system model of multiple tasks offloading in UAV-enabled fog computing networks is described in detail. Then, a simple scheduling algorithm is proposed to optimize the delay of the tasks allocated to a single node. Based on the scheduling algorithm, a multi-task offloading scheme for all tasks and all computing nodes is presented. Finally, simulation results show that the performance of a proposed scheduling algorithm and offloading strategy outperforms than that of a genetic algorithm and a random algorithm. This result can provide an effective optimization for multi-task offloading in UAV-enabled fog computing networks.

在启用了无人机（UAV）的雾计算网络中，如何有效地将多个任务卸载到计算节点是具有挑战性的组合优化问题。为了优化支持UAV的雾计算网络的总时延，提出了一种简单的调度算法和基于烟花算法的多任务卸载方案。首先，详细描述了支持无人机的雾计算网络中的多任务卸载系统模型。然后，提出了一种简单的调度算法来优化分配给单个节点的任务的延迟。基于调度算法，提出了一种针对所有任务和所有计算节点的多任务卸载方案。最后，仿真结果表明，所提出的调度算法和分流策略的性能优于遗传算法和随机算法。该结果可以为启用了无人机的雾计算网络中的多任务卸载提供有效的优化。