5G Cloud-edge-end Collaboration Framework and Resource Scheduling Method in Power Internet of Things

被引：0

作者：

Zhou, Zhenyu ^{[1
]}

Wang, Zhao ^{[1
]}

Liao, Haijun ^{[1
]}

Wang, Yang ^{[2
]}

Zhang, Hui ^{[2
]}

机构：

[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University), Changping District, Beijing,102206, China

[2] China Electric Power Research Institute, Haidian District, Beijing,100192, China

来源：

Dianwang Jishu/Power System Technology | 2022年 / 46卷 / 05期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Wide area networks - Learning algorithms - Data privacy - Reinforcement learning - Power control - Power management - Energy utilization - Deep learning - Scheduling

引用

页码：1641 / 1651

共 50 条

[1] A Cloud-Edge Collaboration Framework for Power Internet of Things Based on 5G networks
Zheng, Libin
Chen, Jing
Liu, Tonglei
Liu, Bingnan
Yuan, JiaNan
Zhang, Ganghong
[J]. 2021 IEEE 9TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND NETWORKS (ICICN 2021), 2021, : 273 - 277
[2] Decomposition of power system inspection services for 5G cloud-edge-end collaboration
Xiang, Hui
Wang, Yucheng
Lv, Yuxiang
Dong, Yawen
Wang, Hongyan
Yang, Yang
Wei, Liangkang
Zhou, Fanqin
Feng, Lei
[J]. 2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 1 - 6
[3] Load Balanced Data Transmission Strategy Based on Cloud-Edge-End Collaboration in the Internet of Things
Li, Jirui
Li, Xiaoyong
Yuan, Jie
Li, Guozhi
[J]. SUSTAINABILITY, 2022, 14 (15)
[4] Optimization and Design of Cloud-Edge-End Collaboration Computing for Autonomous Robot Control Using 5G and Beyond
Wang, Hao
[J]. Journal of Beijing Institute of Technology (English Edition), 2022, 31 (05): : 454 - 463
[5] Optimization and Design of Cloud-Edge-End Collaboration Computing for Autonomous Robot Control Using 5G and Beyond
Hao Wang
[J]. Journal of Beijing Institute of Technology, 2022, 31 (05) : 454 - 463
[6] A Power Multi-Service Transmission Scheduling Method in 5G Edge-Cloud Collaboration Scenario
Yao, Jiming
Wu, Peng
Chen, Duanyun
Wang, Wei
Lin, Yugian
[J]. 2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 703 - 709
[7] A Cloud-Edge-End Collaboration Framework for Cruising Route Recommendation of Vacant Taxis
Liu, Linfeng
Zhou, Yaoze
Xu, Jia
[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 23 (05) : 4678 - 4693
[8] A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things †
Wang, Mian
Xu, Cong'an
Lin, Yun
Lu, Zhiyi
Sun, Jinlong
Gui, Guan
[J]. FUTURE INTERNET, 2023, 15 (05):
[9] Trustability for Resilient Internet of Things Services on 5G Multiple Access Edge Cloud Computing
Uslu, Suleyman
Kaur, Davinder
Durresi, Mimoza
Durresi, Arjan
[J]. SENSORS, 2022, 22 (24)
[10] Cloud-Edge Collaboration with Green Scheduling and Deep Learning for Industrial Internet of Things
Cui, Yunfei
Zhang, Heli
Ji, Hong
Li, Xi
Shao, Xun
[J]. 2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,

← 1 2 3 4 5 →