This repository is a sample implementation of [1].
Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time. Due to the battery limitations, the drones are best suited for last-mile delivery, i.e., the delivery from the package distribution centers (PDCs) to the customers. Since a typical delivery system consists of multiple PDCs, each having random and time-varying demands, the dynamic drone-to-PDC allocation would be of great importance in meeting the demand in an efficient manner. In this paper, we study the dynamic UAV assignment problem for a drone delivery system with the goal of providing measurable Quality of Service (QoS) guarantees.
If using this code for research purposes, please cite:
[1] B. Khamidehi, M. Raeis, and E. S. Sousa. "Dynamic Resource Management for Providing QoS in Drone Delivery Systems." arXiv preprint arXiv:2103.04015, 2021.
@article{khamidehi2021dynamic,
title={Dynamic Resource Management for Providing QoS in Drone Delivery Systems},
author={Khamidehi, Behzad and Raeis, Majid and Sousa, Elvino S},
journal={arXiv preprint arXiv:2103.04015},
year={2021}
}