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

doi:10.1109/MWC.001.1900349

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing
	Ji, Wen 1,2; Liang, Bing 2,3; Wang, Yuqin 2,3; Qiu, Rui 2,3; Yang, Zheming 2,3
刊名	IEEE WIRELESS COMMUNICATIONS
	2020-04-01
卷号	27 期号:2 页码:51-57
ISSN号	1536-1284
DOI	10.1109/MWC.001.1900349
英文摘要	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.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000532257900007
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/15364]
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, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, 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.