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Proceedings Paper

An energy aware smart station for an UAV fleet in the smart farming application
Author(s): Abdon Serianni; Pierfrancesco Raimondo; Nunzia Palmieri
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Paper Abstract

In the last few years, the rising interests in the field of UAV (Unmanned Aerial Vehicle) created new opportunities to develop applications and services in several domains. Some of the most important are the smart farming and precision agriculture domains. Thanks to the feasibility and the versatility of these systems it is possible to accomplish several jobs with the same device. In this application context, we propose a new system composed of a master smart station, some slave satellite stations and UAV fleet. It is developed on the basis of the M2M communication paradigm where devices cooperate between them in an autonomous way to perform assigned tasks. In particular, we designed a smart station which is responsible for managing fleet by assigning tasks and scheduling activities. Moreover, it is also responsible for managing satellite stations for assisting the fleet during its operations. In particular, these stations stock energy during their idle state. We propose an all-in-one hardware solution based on energy harvesting approaches all implemented in the smart stations. Moreover, they supply energy in an on-demand way to the UAV devices which are asking for recharge during their missions. Finally, we designed a customized protocol in an M2M environment based on the MQTT framework to ensure communication between devices and to coordinate operations.

Paper Details

Date Published: 14 May 2019
PDF: 8 pages
Proc. SPIE 11008, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 110080H (14 May 2019); doi: 10.1117/12.2518977
Show Author Affiliations
Abdon Serianni, Univ. della Calabria (Italy)
Pierfrancesco Raimondo, Univ. della Calabria (Italy)
Nunzia Palmieri, Univ. della Calabria (Italy)

Published in SPIE Proceedings Vol. 11008:
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV
J. Alex Thomasson; Mac McKee; Robert J. Moorhead, Editor(s)

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