传感技术学报2024，Vol.37Issue(6)：1014-1024,11.DOI:10.3969/j.issn.1004-1699.2024.06.011
基于无线供能和节点间合作的二进制计算卸载方案
Binary Computing Offloading Scheme Based on Wireless Power Supply and Node Cooperation
摘要
Abstract
Mobile edge computing under wireless power supply is focused on,where computing nodes can independently perform computing tasks or unload them to idle nodes or edge computing server to maximize the sum computing rate(SCR)of nodes.Firstly,the SCR maximi-zation problem is modeled as a non-convex problem,taking into account the constraints such as energy causality and task causality.Next,a solution based on deep reinforcement learning is proposed,which uses deep neural networks to output approximately optimal binary off-loading decisions.Finally,an efficient algorithm is designed to solve the subproblem under a given offloading decision.This scheme has the ability of online learning,fast convergence,and low computational complexity,achieving the approximate maximum SCR.关键词
移动边缘计算/无线供能/节点间协作/二进制卸载Key words
mobile edge computing/wireless power supply/node cooperation/binary offloading分类
信息技术与安全科学引用本文复制引用
秦娥,许方耀,徐也淳,池凯凯,毛科技,李卫锋,何文秀..基于无线供能和节点间合作的二进制计算卸载方案[J].传感技术学报,2024,37(6):1014-1024,11.基金项目
浙江省基础公益研究计划项目(LGG22F020014) （LGG22F020014）
国家自然科学基金项目(62072410) （62072410）
