We propose a novel resilient drone service composition framework for delivery in dynamic weather conditions. We use a skyline approach to select an optimal set of candidate drone services at the source node in a skyway network. Drone services are initially composed using a novel constraint-aware deterministic lookahead algorithm using the multi-armed bandit tree exploration. We propose a heuristic-based resilient service composition approach that adapts to runtime changes and periodically updates the composition to meet delivery expectations. Experimental results prove the efficiency of the proposed approach.

中文翻译：

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无人机交付服务的弹性组合

我们提出了一种新颖的弹性无人机服务组合框架，用于在动态天气条件下交付。我们使用 Skyline 方法在 Skyway 网络中的源节点选择一组最佳候选无人机服务。无人机服务最初由使用多臂老虎机树探索的新型约束感知确定性前瞻算法组成。我们提出了一种基于启发式的弹性服务组合方法，该方法适应运行时更改并定期更新组合以满足交付预期。实验结果证明了所提出方法的有效性。