Ellipsoidal Trajectory Optimization for Minimizing Latency and Data Transmission Energy in UAV-Assisted MEC Using Deep Reinforcement Learning

Ellipsoidal Trajectory Optimization for Minimizing Latency and Data Transmission Energy in UAV-Assisted MEC Using Deep Reinforcement Learning

Due to their flexible deployment and movement capability, unmanned aerial vehicles (UAVs) are being utilized as flying mobile edge computing (MEC) platforms, offering real-time computational resources and low-latency data processing for a wide range of applications. This article aims to explore a UA...

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Bibliographic Details
Main Authors: Rabeya Sadia, Shathee Akter, Seokhoon Yoon
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
unmanned aerial vehicle (UAV)
mobile edge computing (MEC)
task offloading
UAV ellipsoidal trajectory
deep reinforcement learning
user association
Online Access:https://www.mdpi.com/2076-3417/13/22/12136

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https://www.mdpi.com/2076-3417/13/22/12136

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