论文标题
无人机服务的弹性组成用于交付
Resilient Composition of Drone Services for Delivery
论文作者
论文摘要
我们提出了一个新型的弹性无人机服务组成框架，用于在动态天气条件下交付。我们使用天际线方法在Skyway网络中的源节点中选择一组最佳的候选无人机服务。无人机服务最初是使用新颖的约束意识确定性的LookAhead算法组成的。我们提出了一种基于启发式的弹性服务组成方法，可适应运行时的变化，并定期更新构图以满足交付期望。实验结果证明了所提出的方法的效率。
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.
