The impact on the energy consumption of flying drones in favorable winds is investigated in this paper. A tandem system is considered, with only one drone and one truck. The truck moves on a predefined route and brings the drone close to the delivery point. Then, the drone plans its service route by choosing the take-off and landing points from which the delivery will be performed. We propose a constant time algorithm OSR to plan the drone route with minimum-energy service when the truck moves on a line in front of the deliveries (i.e., highway). Then, we devise the algorithm MS-OSR to plan a drone minimum-energy service route when the truck moves on a multiline that bounds a convex area where the deliveries take place. We found that OSR and MS-OSR plan drone service routes that save at least 30% and 60%, respectively, of the energy consumed by connecting the delivery and the truck following the shortest route, that is, following the perpendicular segment between the delivery point and the truck’s route.
A run in the wind: favorable winds make the difference in drone delivery / Palazzetti, Lorenzo; Pinotti, Cristina M.; Rigoni, Giulio. - ELETTRONICO. - (2021), pp. 109-116. (Intervento presentato al convegno 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)) [10.1109/DCOSS52077.2021.00031].
A run in the wind: favorable winds make the difference in drone delivery
Palazzetti, Lorenzo;Rigoni, Giulio
2021
Abstract
The impact on the energy consumption of flying drones in favorable winds is investigated in this paper. A tandem system is considered, with only one drone and one truck. The truck moves on a predefined route and brings the drone close to the delivery point. Then, the drone plans its service route by choosing the take-off and landing points from which the delivery will be performed. We propose a constant time algorithm OSR to plan the drone route with minimum-energy service when the truck moves on a line in front of the deliveries (i.e., highway). Then, we devise the algorithm MS-OSR to plan a drone minimum-energy service route when the truck moves on a multiline that bounds a convex area where the deliveries take place. We found that OSR and MS-OSR plan drone service routes that save at least 30% and 60%, respectively, of the energy consumed by connecting the delivery and the truck following the shortest route, that is, following the perpendicular segment between the delivery point and the truck’s route.File | Dimensione | Formato | |
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