MiKe: Task Scheduling for UAV-based Parcel Delivery
Abstract
Unmanned aerial vehicle (UAV) networks represent an ecological alternative to truck-based delivery systems, especially in urban areas prone to traffic congestion. In this paper, we formalize MiKe as the problem of assigning deliveries to a fleet of drones to minimize the time makespan. We solve this problem with a polynomial-time algorithm, P&D, which outperforms other state-of-the-art solutions.