Identification and Resolution for Industrial Internet: Architecture and Key Technology-Reference-Cited by-同舟云学术

Identification and Resolution for Industrial Internet: Architecture and Key Technology

Published:2022-09-15 Issue:18 Volume:9 Page:16780-16794
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Liu Yang¹^ORCID,Chi Cheng¹,Zhang Yuwen¹,Tang Tong²^ORCID

Affiliation:

1. Institute for Industrial Internet & Internet of Things, China Academy of Information and Communications Technology, Beijing, China

2. School of Communication and Information Engineering, the Advanced Network and Intelligent Interconnection Technology Key Laboratory of Chongqing Education Commission, and the Key Laboratory of Ubiquitous Sensing and Networking, Chongqing University of Posts and Telecommunications, Chongqing, China

Funder

2018 Industrial Internet Innovation and Development Project—Industrial Internet Identification Resolution System: National Top-Level Node Construction Project

2018 Industrial Internet Innovation and Development Project—Industrial Internet Identification Overall Architecture: Technical Standard Formulation and Test Verification

2020 Industrial Internet Innovation and Development Project: Network Identifier Construction Project

Science and Technology Research Program of Chongqing Municipal Education Commission

General Program of Chongqing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9881201/09738800.pdf?arnumber=9738800

Reference43 articles.

1. Is DNS Ready for Ubiquitous Internet of Things?

2. Cross-layer device authentication with quantum encryption for 5G enabled IIoT in industry 4.0;xu;IEEE Trans Ind Informat,2021

3. A Personalized Privacy Protection Framework for Mobile Crowdsensing in IIoT

4. Exploiting Transfer Learning for Emotion Recognition Under Cloud-Edge-Client Collaborations

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