物联网学报2024，Vol.8Issue(1)：98-110,13.DOI:10.11959/j.issn.2096-3750.2024.00375
联邦边缘智能网络碳排放评估及优化
Evaluation and optimization of carbon emission for federal edge intelligence network
摘要
Abstract
In recent years,the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence(AI)technology and algorithms in telecommunication networks,the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intel-ligence(FEI),based on edge computing and distributed federated machine learning,has been widely acknowledged as one of the key pathway for implementing network native intelligence.However,evaluating and optimizing the compre-hensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue,a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subse-quently,three carbon emission optimization schemes for FEI networks were presented,including dynamic energy trading(DET),dynamic task allocation(DTA),and dynamic energy trading and task allocation(DETA).Finally,by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets,FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sus-tainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.关键词
6G/碳排放/联邦边缘智能网络/碳排放评估框架和方法/动态能量交易与任务分配Key words
6G/carbon emission/federated edge intelligence network/carbon emission assessment framework and method/dynamic energy trading and task allocation分类
矿业与冶金引用本文复制引用
张鹏,肖泳,胡记伟,廖亮,吕建新,白泽刚..联邦边缘智能网络碳排放评估及优化[J].物联网学报,2024,8(1):98-110,13.基金项目
国家自然科学基金项目(No.62071193) （No.62071193）
湖北省科技创新及人才服务专项(No.2021EHB015) （No.2021EHB015）
武汉市人工智能专项(No.2022010702040062) （No.2022010702040062）
鹏城实验室重大攻关项目(No.PCL2023AS1-2) The National Natural Science Foundation of China(No.62071193),Hubei Province Science and Technology Innovation Talents and Service Program(No.2021EHB015),The Key AI Program of Wuhan(No.2022010702040062),Major project of Peng Cheng Laboratory(No.PCL2023AS1-2) （No.PCL2023AS1-2）
