面向多应用的绿色卸载与处理方案研究
Research on Green Offloading and Processing Scheme for Multiple Applications
张竣铭 1王俊义 1彭捷 1李然1
作者信息
- 1. 桂林电子科技大学信息与通信学院,广西桂林 541004
- 折叠
摘要
移动边缘(Mobile Edge Computing,MEC)计算因其低时延、低功耗和高网络容量等特点被广泛应用于新型的物联网应用中.为进一步充分利用系统的计算资源并降低功耗,研究了基于 D2D辅助卸载的 MEC系统下的计算卸载决策、功率分配方案和计算处理顺序.提出了面向多应用的终端设备总功耗最小化问题,实现绿色卸载.为解决原始的 NP-hard问题,设计并提出了基于贪婪配置思想和冒泡排序思想的绿色卸载与应用处理排序算法(Green Offloading and Application Processing Sorting Algorithm,GOAPSA).仿真结果表明,该算法通过灵活调整应用的处理顺序和功率分配方案,应用 D2D辅助卸载可以有效降低系统的总功耗并提高系统容量.
Abstract
Mobile Edge Computing(MEC)is widely used in the new Internet of Things due to its low delay,low power consumption and high system capacity.To further make full use of the computing resource and reduce the power consumption,the scheme of computation offloading,computation processing sequence and power allocation are studied in green MEC system with D2D assisted offloading.To achieve green offloading,total power minimization of the terminal devices is put forward which considers many different application requests.To solve the original NP-hard problem,the Green Offloading and Application Processing Sorting Algorithm(GOAPSA)is proposed based on greedy method and bubble sort method.Simulation results show that the proposed algorithm can reduce the total system power consumption and increase system capacity by adjusting flexibly the processing sequence of applications and transmission power allocation and using D2D-assisted offloading.
关键词
移动边缘计算/D2D/计算卸载/应用处理顺序/绿色通信Key words
MEC/D2D/computation offloading/application processing sequence/green communication引用本文复制引用
基金项目
广西壮族自治区科技重大专项(AA20302001)
广西自然科学基金面上项目(2020GXNSFAA159105)
广西无线宽带通信与信号处理重点实验室主任基金(2019)(GXKL06190117)
地区科学基金(61966007)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据