Joint Deployment Optimization and Flight Trajectory Planning for UAV Assisted IoT Data Collection: A Bilevel Optimization Approach

This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV flies to each foothold to collect data from IoT devices, and then return to its start point. For such a system, we aim to minimize the energy consumption by jointly optimizing the deployment and flight trajector...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 23; H. 11; S. 21492 - 21504
Hauptverfasser:	Han, Shoufei, Zhu, Kun, Zhou, MengChu, Liu, Xiaojing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Autonomous aerial vehicles Bilevel optimization dandelion algorithm Data collection deployment optimization Electronic devices Energy consumption flight trajectory planning Greedy algorithms Internet of Things iterated greedy algorithm machine learning Mixed integer Mutation Optimization Trajectory Trajectory planning Traveling salesman problem UAV Unmanned aerial vehicles
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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