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.
2021
2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)
2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS)
Palazzetti, Lorenzo; Pinotti, Cristina M.; Rigoni, Giulio
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1253580
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