English

Optimizing Drone Delivery in Smart Cities

Robotics 2023-05-01 v1 Distributed, Parallel, and Cluster Computing

Abstract

We propose a novel context-aware drone delivery framework for optimizing package delivery through skyway networks in smart cities. We reformulate the problem of finding an optimal drone service delivery pathway as a more congruent and elegant drone delivery service composition problem. In this respect, we propose a novel line-of-sight heuristic-based context-aware composition algorithm that selects and composes near-optimal drone delivery services. We conducted an extensive experiment using a real dataset to show the robustness of our proposed approach.

Keywords

Cite

@article{arxiv.2304.14622,
  title  = {Optimizing Drone Delivery in Smart Cities},
  author = {Babar Shahzaad and Balsam Alkouz and Jermaine Janszen and Athman Bouguettaya},
  journal= {arXiv preprint arXiv:2304.14622},
  year   = {2023}
}

Comments

8 pages, 3 figures. This is an accepted paper and it is going to appear in IEEE Internet Computing magazine

R2 v1 2026-06-28T10:20:26.527Z