Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing

doi:10.1109/MWC.001.1900349

	Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing
	Ji, Wen 1,2; Liang, Bing 1,3; Wang, Yuqin 1,3; Qiu, Rui 1,3; Yang, Zheming 1,3
	2020-04-01
发表期刊	IEEE WIRELESS COMMUNICATIONS
ISSN	1536-1284
卷号	27 期号:2 页码:51-57
摘要	Fog computing has emerged as a unifying platform to provide computing, communication, and storage for a variety of mobile applications. That helps achieve high bandwidth, high intelligence, low latency, and low energy consumption in handling massive networking devices and emerging rich multimedia services in 5G networks. Current prominence and future promises are changing from the Internet of Things (IoT) to the Internet of Everything (IoE), which is a union of people, process, data, and things. However, the development of fog radio access networks (F-RANs) is challenged by the diversity of IoE, ultra-high-definition videos on demand from users, and low-latency requirement of heterogeneous IoT devices. In this article, we present an architecture of visual IoE (V-IoE) in F-RANs. We systemically analyze the key challenges of V-IoE from the perspective of F-RANs, and propose a crowd V-IoE architecture. Through experimental results, we demonstrate that our proposed architecture exhibits better performance with lower bandwidth requirement, lower energy consumption, and lower latency in F-RANs. Finally, we conclude with a discussion of potential directions.
DOI	10.1109/MWC.001.1900349
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000532257900007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：22[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15365
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.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Peng Cheng Lab, Shenzhen, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ji, Wen,Liang, Bing,Wang, Yuqin,et al. Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing[J]. IEEE WIRELESS COMMUNICATIONS,2020,27(2):51-57.
APA	Ji, Wen,Liang, Bing,Wang, Yuqin,Qiu, Rui,&Yang, Zheming.(2020).Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing.IEEE WIRELESS COMMUNICATIONS,27(2),51-57.
MLA	Ji, Wen,et al."Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing".IEEE WIRELESS COMMUNICATIONS 27.2(2020):51-57.