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An Intelligent End-Edge-Cloud Architecture for Visual IoT-Assisted Healthcare Systems

文献类型：期刊论文

作者Yang, Zheming3,4; Liang, Bing3,4; Ji, Wen1,2
刊名IEEE INTERNET OF THINGS JOURNAL
出版日期2021-12-01
卷号8期号:23页码:16779-16786
关键词Medical services Visualization Internet of Things Hospitals Computer architecture Performance evaluation Cloud computing End-edge-cloud system intelligence model Internet of Things (IoT) new architecture smart healthcare visual IoT
ISSN号2327-4662
DOI10.1109/JIOT.2021.3052778
英文摘要Recently, the Internet of Things (IoT) has played a powerful role in healthcare. However, the rapid growth of healthcare devices has produced many heterogeneous data and most of them are visual. It brings great difficulties to the calculation, cache, and transmission of data. The geographical dispersion and the dynamicity of nodes also challenge the development of healthcare IoT (HIoT). In this article, we propose an intelligent end-edge-cloud architecture for visual IoT-assisted healthcare systems (intelligent V-HIoT) to improve the end-to-end performance of next-generation smart healthcare. First, we systemically analyze the characteristics of human-machine-things in end side from the perspective of data processing, then define the end intelligence, solving the problem of intelligence measurement of heterogeneous devices. Second, we propose an efficiency intelligence measurement model in the edge side and cloud side, which provides a theoretical basis for the dynamic management of edge nodes. Third, we present an end-edge-cloud framework that optimizes the efficiency of data processing and node deployment. The intelligence level of HIoT is maximized as well as intelligent management of nodes is implemented. To verify the effectiveness, we perform the experiments for different approaches. The simulation results demonstrate that the intelligent V-HIoT significantly outperforms existing approaches because the proposed method can achieve maximum intelligence level of both in many heterogeneous devices and an emergency medical situation.
资助项目National Key Research and Development Program of China[2017YFB1400100] ; National Natural Science Foundation of China[62072440] ; Beijing Natural Science Foundation[4202072]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000720519000012
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/18104]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ji, Wen
作者单位1.Peng Cheng Lab, Shenzhen 518055, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Zheming,Liang, Bing,Ji, Wen. An Intelligent End-Edge-Cloud Architecture for Visual IoT-Assisted Healthcare Systems[J]. IEEE INTERNET OF THINGS JOURNAL,2021,8(23):16779-16786.
APA Yang, Zheming,Liang, Bing,&Ji, Wen.(2021).An Intelligent End-Edge-Cloud Architecture for Visual IoT-Assisted Healthcare Systems.IEEE INTERNET OF THINGS JOURNAL,8(23),16779-16786.
MLA Yang, Zheming,et al."An Intelligent End-Edge-Cloud Architecture for Visual IoT-Assisted Healthcare Systems".IEEE INTERNET OF THINGS JOURNAL 8.23(2021):16779-16786.

入库方式： OAI收割

来源：计算技术研究所

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