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Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery
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 rigor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026723/ https://www.ncbi.nlm.nih.gov/pubmed/35459039 http://dx.doi.org/10.3390/s22083056 |
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author | Jia, Yunjian Zhang, Yi Luo, Kun Wen, Wanli |
author_facet | Jia, Yunjian Zhang, Yi Luo, Kun Wen, Wanli |
author_sort | Jia, Yunjian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9026723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90267232022-04-23 Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery Jia, Yunjian Zhang, Yi Luo, Kun Wen, Wanli Sensors (Basel) Communication 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. MDPI 2022-04-15 /pmc/articles/PMC9026723/ /pubmed/35459039 http://dx.doi.org/10.3390/s22083056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Jia, Yunjian Zhang, Yi Luo, Kun Wen, Wanli Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
title | Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
title_full | Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
title_fullStr | Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
title_full_unstemmed | Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
title_short | Drone-Fleet-Enabled Logistics: A Joint Design of Flight Trajectory and Package Delivery |
title_sort | drone-fleet-enabled logistics: a joint design of flight trajectory and package delivery |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026723/ https://www.ncbi.nlm.nih.gov/pubmed/35459039 http://dx.doi.org/10.3390/s22083056 |
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