DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station

Due to Drones’ limited battery capacity, quick battery-charging machines (QCMs) are required to ensure long-distance flying. A QCM is chosen for a drone using the shortest path algorithm considering the waiting time at a QCM, charging time, End-to-End (E2E) flight time and other similar time and dis...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hussein Al-kabi, Sayyed Majid Mazinani
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Battery charging Drone navigation No-drone zone Reservation Route selection Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/e2347cd6960a48de8df088d324cf6482
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e2347cd6960a48de8df088d324cf6482
record_format	dspace
spelling	oai:doaj.org-article:e2347cd6960a48de8df088d324cf64822021-11-22T04:20:56ZDNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station2090-447910.1016/j.asej.2021.02.020https://doaj.org/article/e2347cd6960a48de8df088d324cf64822021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921001386https://doaj.org/toc/2090-4479Due to Drones’ limited battery capacity, quick battery-charging machines (QCMs) are required to ensure long-distance flying. A QCM is chosen for a drone using the shortest path algorithm considering the waiting time at a QCM, charging time, End-to-End (E2E) flight time and other similar time and distance-based criteria for the drone services. However, these methods lack reckoning the varying costs of charging by multiple service providers. Furthermore, such algorithms commonly do not consider the avoidance of no-drone cross-over zones. It is supposed that drone navigation and charging stations (DNCS) are to clearly identify drone trajectories, so both the overall traveled distance and drones charging costs are minimized simultaneously (without crossing over the no-drone zones). The results of simulation reveal the proposed algorithm’s remarkable cost-effectiveness and its avoidance from the risk of crossing over no-fly zone compared to the current planning methods accounting for only the shortest-path- based drone trajectory.Hussein Al-kabiSayyed Majid MazinaniElsevierarticleBattery chargingDrone navigationNo-drone zoneReservationRoute selectionEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3669-3676 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Battery charging Drone navigation No-drone zone Reservation Route selection Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Battery charging Drone navigation No-drone zone Reservation Route selection Engineering (General). Civil engineering (General) TA1-2040 Hussein Al-kabi Sayyed Majid Mazinani DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station
description	Due to Drones’ limited battery capacity, quick battery-charging machines (QCMs) are required to ensure long-distance flying. A QCM is chosen for a drone using the shortest path algorithm considering the waiting time at a QCM, charging time, End-to-End (E2E) flight time and other similar time and distance-based criteria for the drone services. However, these methods lack reckoning the varying costs of charging by multiple service providers. Furthermore, such algorithms commonly do not consider the avoidance of no-drone cross-over zones. It is supposed that drone navigation and charging stations (DNCS) are to clearly identify drone trajectories, so both the overall traveled distance and drones charging costs are minimized simultaneously (without crossing over the no-drone zones). The results of simulation reveal the proposed algorithm’s remarkable cost-effectiveness and its avoidance from the risk of crossing over no-fly zone compared to the current planning methods accounting for only the shortest-path- based drone trajectory.
format	article
author	Hussein Al-kabi Sayyed Majid Mazinani
author_facet	Hussein Al-kabi Sayyed Majid Mazinani
author_sort	Hussein Al-kabi
title	DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station
title_short	DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station
title_full	DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station
title_fullStr	DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station
title_full_unstemmed	DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station
title_sort	dncs: new uav navigation with considering the no-fly zone and efficient selection of the charging station
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/e2347cd6960a48de8df088d324cf6482
work_keys_str_mv	AT husseinalkabi dncsnewuavnavigationwithconsideringthenoflyzoneandefficientselectionofthechargingstation AT sayyedmajidmazinani dncsnewuavnavigationwithconsideringthenoflyzoneandefficientselectionofthechargingstation
_version_	1718418252966658048

DNCS: New UAV navigation with considering the no-fly zone and efficient selection of the charging station

Ejemplares similares