现代电子技术2024，Vol.47Issue(3)：73-79,7.DOI:10.16652/j.issn.1004-373x.2024.03.014
基于多目标优化的移动边缘计算任务卸载方法
Mobile edge computing task offloading method based on multi-objective optimization
摘要
Abstract
In order to shorten the task offloading delay and reduce energy consumption,a mobile edge computing(MEC)task offloading method is designed based on multi-objective optimization.A multi-objective optimization model is established with minimum delay and minimum energy consumption as objective functions,while considering constraints such as task offloading computing resource allocation,total energy consumption being lower than device remaining power,task offloading transmission power and task offloading delay.In addition,the mobility of mobile devices is considered,and node switching constraints are constructed.In order to improve the solving efficiency,the selection,crossover and mutation operations in the genetic algorithm are improved,and the multi-objective optimization model is solved with the improved genetic algorithm,and the optimal task offloading strategy of mobile edge computing is obtained.The experimental results show that the proposed method can complete task offloading effectively,shorten the task offloading delay and reduce the task offloading energy consumption.In addition,it can achieve good task offloading performance under different remaining battery levels,so it can improve the user experience.关键词
多目标优化/移动边缘计算/卸载能耗/改进遗传算法/约束条件/求解效率Key words
multi-objective optimization/MEC/offloading energy consumption/improved genetic algorithm/constraint/solving efficiency分类
信息技术与安全科学引用本文复制引用
蒋金陵,徐胜超..基于多目标优化的移动边缘计算任务卸载方法[J].现代电子技术,2024,47(3):73-79,7.基金项目
国家自然科学基金面上项目(61772221) （61772221）
广州华商学院校内科研导师制项目资助(2023HSDS28) （2023HSDS28）
