Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) with the objective to optimize computation offloading with minimum UAV energy consumption. In the considered scenario, a UAV plays the role of an aerial cloudlet to collect and process the computation tasks of...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 69; H. 3; S. 3424 - 3438
Hauptverfasser:	Li, Mushu, Cheng, Nan, Gao, Jie, Wang, Yinlu, Zhao, Lian, Shen, Xuemin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms alternating direction method of multipliers (ADMM) Computation offloading Computational modeling Computer simulation Edge computing Energy consumption Energy efficiency Internet of Things (IoT) Mathematical programming Mobile computing mobile edge computing (MEC) Optimization Power efficiency Problem solving Resource allocation Resource management Spatial distribution Task analysis Trajectory Trajectory optimization Unmanned aerial vehicle Unmanned aerial vehicles User requirements
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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