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Resilient composition of drone services for delivery
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2020-09-23 , DOI: 10.1016/j.future.2020.09.023
Babar Shahzaad , Athman Bouguettaya , Sajib Mistry , Azadeh Ghari Neiat

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:

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进行交付。我们使用天际线方法在空中网络的源节点处选择一组最佳的候选无人机服务。无人机服务最初是使用一种新颖的约束感知确定性前瞻算法(使用多臂老虎机树探索)组成的。我们提出了一种基于启发式的弹性服务组合方法,该方法可以适应运行时的变化并定期更新组合以满足交付期望。实验结果证明了该方法的有效性。
更新日期:2020-09-23
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