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Conference object . 2019
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Download and Fly: An Online Solution for the UAV 3D Trajectory Planning Problem in Smart Cities

Authors: Natalizio E.; Di Puglia Pugliese L.; Zema N. R.; Guerriero F.;

Download and Fly: An Online Solution for the UAV 3D Trajectory Planning Problem in Smart Cities

Abstract

Unmanned Aerial Vehicles (UAVs) represent an important asset in the increasing automation required in Smart Cities. However, their short flight autonomy and limited computational resources raise a set of issues to unravel for their full exploitation. In this paper, some of these issues are addressed by leveraging the deployment of Training and Recharging Areas (TRA) in the Smart City. While moving among different Mission Areas (MA), the UAVs pass through dedicated TRA, where Energy and Data Dispensers (EDD) are scattered to allow UAV battery recharge and software update. The tridimensional trajectory planning problem to let the UAVs efficiently and swiftly move through the EDDs, towards the exit of the TRA, is investigated. A mathematical formulation of the problem is presented, and an online approach is designed to achieve a feasible implementation in a realistic scenario.

Keywords

Wireless Networks, Distributed Control Systems, Reactive Planning, Distributed Control Systems; Reactive Planning; Wireless Networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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