@misc{bibcite_15765,
  author = {Tadeusz Czach{\'o}rski and Erol Gelenbe and Godlove Kuaban and Dariusz Marek},
  title = {Optimizing Energy Usage for an Electric Drone},
  abstract = {<p>Unmanned Aerial Vehicles (UAVs) are rapidly gaining popu-<br />
larity in a wide variety of applications, e.g., agriculture, health care, envi-<br />
ronmental management, supply chains, law enforcement, surveillance,<br />
and photography. Dones are often powered by batteries, making energy<br />
a critical resource that must be optimised during the mission of the<br />
drone. The duration of a done{\textquoteright}s mission depends on the amount of energy<br />
required to perform some manoeuvering actions (takeoff, level flight, hov-<br />
ering, and landing), the energy required to power the ICT modules in<br />
the drone, the drone{\textquoteright}s speed, payload, and the wind. In this paper, we<br />
present a model that minimizes the energy consumption of a low power<br />
drone and maximizes the time required to completely drain the drone{\textquoteright}s<br />
battery and ensure the safe landing of the drone.</p>
},
  year = {2022},
  journal = {EuroCybersec 2021},
  volume = {1596},
  publisher = {Springer},
  address = {Nice, France},
  doi = {10.1007/978-3-031-09357-9 _ 6},
  language = {eng},
}