Research on Joint Optimization of Task Offloading and UAV Trajectory in Mobile Edge Computing Considering Communication Cost Based on Safe Reinforcement Learning

Research on Joint Optimization of Task Offloading and UAV Trajectory in Mobile Edge Computing Considering Communication Cost Based on Safe Reinforcement Learning

Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energy consumption. UAVs serve as auxiliary edge cl...

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Bibliographic Details
Main Authors: Yu Dai, Jiaming Fu, Zhen Gao, Lei Yang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
mobile edge computing
UAV path planning
task offloading
communication
collision avoidance
Online Access:https://www.mdpi.com/2076-3417/14/6/2635

Internet

https://www.mdpi.com/2076-3417/14/6/2635

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