Computing Resource Allocation Strategy Using Biological Evolutionary Algorithm in UAV-Assisted Mobile Edge Computing
Aiming at the problems of high computing energy consumption and long time in traditional UAV-assisted edge computing research work, a computing resource allocation strategy using biological evolutionary algorithms in UAV-assisted mobile edge computing is proposed by introducing UAV swarms and geneti...
Saved in:
Main Authors: | Li Wang, Xiang Yao, Zhenqi Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Robotics |
Online Access: | http://dx.doi.org/10.1155/2022/4029558 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An UAV-Assisted Edge Computing Resource Allocation Strategy for 5G Communication in IoT Environment
by: Hao Liu
Published: (2022-01-01) -
Joint trajectory design and resource allocation for UAV-assisted mobile edge computing in power convergence network
by: Junbin Cui, et al.
Published: (2025-01-01) -
Research on task offloading and resource allocation in edge computing network of RIS assisted UAV based on Lyapunov
by: KUANG Zhufang, et al.
Published: (2024-09-01) -
Partial computation offloading method based on joint resource allocation for mobile edge computing
by: Yao LIU, et al.
Published: (2023-03-01) -
Review on resources allocation and pricing methods in mobile edge computing
by: Lushan ZOU, et al.
Published: (2022-03-01)