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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...

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Detalles Bibliográficos
Autores principales: Jia, Yunjian, Zhang, Yi, Luo, Kun, Wen, Wanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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