Task Scheduling and Trajectory Optimization Based on Fairness and Communication Security for Multi-UAV-MEC System

Unmanned aerial vehicles (UAVs) show significant potential in enhancing communication services within the mobile edge computing (MEC) system by taking their advantages on the flexible mobility and reliable line-of-sight links. However, in the scenarios with multiple UAV-MECs (UMs) operating concurre...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE internet of things journal Jg. 11; H. 19; S. 30510 - 30523
Hauptverfasser:	He, Yejun, Xiang, Kun, Cao, Xiaowen, Guizani, Mohsen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Autonomous aerial vehicles Communication Communications systems Cybersecurity Data transmission Eavesdropping Edge computing Energy consumption Fairness Line of sight communication Mathematical analysis Mixed integer Mobile computing mobile edge computing (MEC) multiagent deep deterministic policy gradient (MADDPG) Multiagent systems multiunmanned aerial vehicles (UAVs) offloading strategy Privacy Resource management Security Task analysis Task scheduling Three-dimensional displays Trajectory Trajectory optimization transmit power Unmanned aerial vehicles
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!