Name
Title | ||
|---|---|---|
Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
Abstract | ||
|---|---|---|
In this work, we focus on a drone-fleet-enabled package delivery scenario, in which multiple drones fly from a start point and cooperatively deliver packages to the ground users in the presence of a number of no-fly zones (NFZs). We first mathematically model the package delivery scenario in a rigorous manner. Then, a package value maximization problem is established to optimize the flight trajectory and package delivery under the constraints of drone load and collision as well as NFZs. The formulated problem is a highly challenging mixed-integer non-convex problem. To facilitate solving it, we transform the formulated problem into an equivalent problem with special structure by using some appropriate transformations, based on which a low-complexity algorithm with favorable performance is developed using the penalty convex-concave procedure method. Finally, numerical results demonstrate the superiority of the proposed solution. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3390/s22083056 | SENSORS |
Keywords | DocType | Volume |
logistics, drone fleet, package delivery, trajectory optimization, no-fly zone constraints | Journal | 22 |
Issue | ISSN | Citations |
8 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunjian Jia | 1 | 67 | 13.92 |
| Yi Zhang | 2 | 4 | 6.16 |
| Kun Luo | 3 | 0 | 0.34 |
| Wen Wanli | 4 | 32 | 4.91 |