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...

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Vydané v:	IEEE internet of things journal Ročník 11; číslo 19; s. 30510 - 30523
Hlavní autori:	He, Yejun, Xiang, Kun, Cao, Xiaowen, Guizani, Mohsen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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