典型文献
                Adaptive Learning-Based Delay-Sensitive and Secure Edge-End Collaboration for Multi-Mode Low-Carbon Power IoT
            文献摘要:
                    Multi-mode power internet of things (PIoT) combines various communication media to provide spatio-temporal coverage for low-carbon op-eration in smart park. Edge-end collaboration is fea-sible to achieve the full utilization of heterogeneous resources and anti-eavesdropping. However, edge-end collaboration-based multi-mode PIoT faces challenges of mutual contradiction in communication and secu-rity quality of service (QoS) guarantee, inadaptability of resource management, and multi-mode access con-flict. We propose an Adaptive learning based delAy-sensitive and seCure Edge-End Collaboration algo-rithm (ACE2) to optimize multi-mode channel selec-tion and split device power into artificial noise (AN) transmission and data transmission for secure data de-livery. ACE2 can achieve multi-attribute QoS guar-antee, adaptive resource management and security en-hancement, and access conflict elimination with the combined power of deep actor-critic (DAC),"win or learn fast (WoLF)"mechanism, and edge-end collab-oration. Simulations demonstrate its superior perfor-mance in queuing delay, energy consumption, secrecy capacity, and adaptability to differentiated low-carbon services.
                文献关键词:
                    
                中图分类号:
                    
                作者姓名:
                    
                        Haijun Liao;Zehan Jia;Ruiqiuyu Wang;Zhenyu Zhou;Fei Wang;Dongsheng Han;Guangyuan Xu;Zhenti Wang;Yan Qin
                    
                作者机构:
                    Hebei Key Laboratory of Power Internet of Things Technology,North China Electric Power University,Baoding 071003,Hebei,China;State Grid Anhui Electric Power Company Chuzhou Power Supply Company,Chuzhou 239000,Anhui,China
                文献出处:
                    
                引用格式:
                    
                        [1]Haijun Liao;Zehan Jia;Ruiqiuyu Wang;Zhenyu Zhou;Fei Wang;Dongsheng Han;Guangyuan Xu;Zhenti Wang;Yan Qin-.Adaptive Learning-Based Delay-Sensitive and Secure Edge-End Collaboration for Multi-Mode Low-Carbon Power IoT)[J].中国通信(英文版),2022(07):324-336
                    
                A类:
                inadaptability,delAy,seCure,guar,antee
                B类:
                    Adaptive,Learning,Based,Delay,Sensitive,Secure,Edge,End,Collaboration,Multi,Mode,Low,Carbon,Power,mode,power,internet,things,PIoT,combines,various,communication,media,provide,spatio,temporal,coverage,low,carbon,eration,smart,park,end,collaboration,fea,sible,achieve,full,utilization,heterogeneous,resources,anti,eavesdropping,However,edge,multi,faces,challenges,mutual,contradiction,quality,QoS,guarantee,management,access,We,propose,learning,sensitive,algo,rithm,ACE2,optimize,channel,selec,split,device,into,artificial,noise,AN,transmission,data,secure,livery,can,attribute,adaptive,security,hancement,conflict,elimination,combined,deep,actor,critic,DAC,win,fast,WoLF,mechanism,Simulations,demonstrate,its,superior,perfor,mance,queuing,delay,energy,consumption,secrecy,capacity,differentiated,services
                AB值:
                    0.606877
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