不确定条件下无人机快递服务的鲁棒组成

2021 IEEE International Conference on Web Services (ICWS) Pub Date : 2021-07-18 DOI:10.1109/ICWS53863.2021.00093

Babar Shahzaad, A. Bouguettaya, Sajib Mistry

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引用次数: 11

摘要

考虑到城市地区风力模式的变化，我们提出了一种新的强大的无人机交付服务组合框架。拟议的框架结合了无人机服务在充电站的动态到达。提出了一种概率前向搜索(PFS)算法来选择和组合不确定情况下的最佳无人机配送服务。用真实无人机数据集进行了一组实验，以说明所提出方法的有效性和效率。

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Robust Composition of Drone Delivery Services under Uncertainty

We propose a novel robust composition framework for drone delivery services considering changes in the wind patterns in urban areas. The proposed framework incorporates the dynamic arrival of drone services at the recharging stations. We propose a Probabilistic Forward Search (PFS) algorithm to select and compose the best drone delivery services under uncertainty. A set of experiments with a real drone dataset is conducted to illustrate the effectiveness and efficiency of the proposed approach.

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2021 IEEE International Conference on Web Services (ICWS)

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