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Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security
Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight considerat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919662/ https://www.ncbi.nlm.nih.gov/pubmed/36772502 http://dx.doi.org/10.3390/s23031463 |
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author | Raivi, Asif Mahmud Huda, S. M. Asiful Alam, Muhammad Morshed Moh, Sangman |
author_facet | Raivi, Asif Mahmud Huda, S. M. Asiful Alam, Muhammad Morshed Moh, Sangman |
author_sort | Raivi, Asif Mahmud |
collection | PubMed |
description | Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight consideration, distance measurement, and customer location. In this paper, we present a survey of emerging drone routing algorithms for drone-based delivery systems, emphasizing three major drone routing aspects: trajectory planning, charging, and security. We focus on practical design considerations to ensure efficient, flexible, and reliable parcel delivery. We first discuss the potential issues arising when designing such systems. Next, we present a novel taxonomy based on the above-mentioned three aspects. We extensively review each algorithm for drone routing in terms of key features and operational characteristics. Furthermore, we compare the algorithms in terms of their main idea, advantages, limitations, and performance aspects. Finally, we present open research challenges to motivate further research in this field. In particular, we focus on the major aspects that researchers and engineers need to consider in order to design effective and reliable drone routing algorithms for drone-based delivery systems. |
format | Online Article Text |
id | pubmed-9919662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99196622023-02-12 Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security Raivi, Asif Mahmud Huda, S. M. Asiful Alam, Muhammad Morshed Moh, Sangman Sensors (Basel) Review Recently, owing to the high mobility and low cost of drones, drone-based delivery systems have shown considerable potential for ensuring flexible and reliable parcel delivery. Several crucial design issues must be considered to design such systems, including route planning, payload weight consideration, distance measurement, and customer location. In this paper, we present a survey of emerging drone routing algorithms for drone-based delivery systems, emphasizing three major drone routing aspects: trajectory planning, charging, and security. We focus on practical design considerations to ensure efficient, flexible, and reliable parcel delivery. We first discuss the potential issues arising when designing such systems. Next, we present a novel taxonomy based on the above-mentioned three aspects. We extensively review each algorithm for drone routing in terms of key features and operational characteristics. Furthermore, we compare the algorithms in terms of their main idea, advantages, limitations, and performance aspects. Finally, we present open research challenges to motivate further research in this field. In particular, we focus on the major aspects that researchers and engineers need to consider in order to design effective and reliable drone routing algorithms for drone-based delivery systems. MDPI 2023-01-28 /pmc/articles/PMC9919662/ /pubmed/36772502 http://dx.doi.org/10.3390/s23031463 Text en © 2023 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 | Review Raivi, Asif Mahmud Huda, S. M. Asiful Alam, Muhammad Morshed Moh, Sangman Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security |
title | Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security |
title_full | Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security |
title_fullStr | Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security |
title_full_unstemmed | Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security |
title_short | Drone Routing for Drone-Based Delivery Systems: A Review of Trajectory Planning, Charging, and Security |
title_sort | drone routing for drone-based delivery systems: a review of trajectory planning, charging, and security |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919662/ https://www.ncbi.nlm.nih.gov/pubmed/36772502 http://dx.doi.org/10.3390/s23031463 |
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