Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting

To optimize the energy efficiency of edge computing system with energy harvesting, this paper proposes an energy-efficient task offloading method optimized by differential evolution. First, a wireless edge computing network model is established to analyze the energy harvesting, task offloading and t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2021, Vol.9, p.16383-16391
Main Authors: Sun, Yingying, Song, Chunhe, Yu, Shimao, Liu, Yiyang, Pan, Hao, Zeng, Peng
Format: Article
Language:English
Subjects:
Computation offloading
Computational modeling
differential evolutionary algorithm
Edge computing
Energy consumption
Energy conversion efficiency
Energy efficiency
Energy harvesting
Evolutionary computation
Optimization
Resource management
Sensors
Service life
Task analysis
task offloading
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To optimize the energy efficiency of edge computing system with energy harvesting, this paper proposes an energy-efficient task offloading method optimized by differential evolution. First, a wireless edge computing network model is established to analyze the energy harvesting, task offloading and task calculation of the system, as well as the total number of calculated bits and total energy consumption of the system. Second, according to the total number of calculated bits and total energy consumption of the system, an objective function is established to optimize the energy efficiency of system, and a differential evolution based optimization method is proposed, with which the optimal energy efficiency of system calculation, offloading time, calculation time and frequency are obtained. Experimental results show that the proposed method can not only achieve better convergence effect, but also can effectively solve the energy shortage problem of the micro-equipment and extend the service life of the equipment.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3052901