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.
@article{arxiv.2107.08450,
title = {Robust Composition of Drone Delivery Services under Uncertainty},
author = {Babar Shahzaad and Athman Bouguettaya and Sajib Mistry},
journal= {arXiv preprint arXiv:2107.08450},
year = {2021}
}
Comments
6 pages, 3 figures. This is an accepted paper and it is going to appear in the Proceedings of the 2021 IEEE International Conference on Web Services (IEEE ICWS 2021)