A Reinforcement Learning Algorithm for Data Collection in UAV-aided IoT Networks with Uncertain Time Windows

Unmanned aerial vehicles (UAVs) have been considered as an efficient solution to collect data from ground sensor nodes in Internet-of-Things (IoT) networks due to their several advantages such as flexibility, quick deployment and maneuverability. Studies on this subject have been mainly focused on p...

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Veröffentlicht in:	IEEE International Conference on Communications workshops S. 1 - 6
1. Verfasser:	Cicek, Cihan Tugrul
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2021
Schlagworte:	battery swapping Benchmark testing Conferences Data collection Heuristic algorithms internet-of-things Reinforcement learning time windows Trajectory planning UAV uncertainty Unmanned aerial vehicles
ISSN:	2694-2941
Online-Zugang:	Volltext
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