IDEA: Identification based Deft networking with Elastic Attributes

Zhiwei Yan, Kejun Dong, Hidenori Nakazato, Yong Jin Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Internet has been rapidly penetrating into almost all of the traditional industrial areas. Considering the fact that industrial internet applications may be used in production-manufacturing control and other scenarios, a more robust and secure network is required. However, the current Internet is established based on the TCP/IP model with the 'best-effort' characteristic resulting in efficiency and flexibility challenges. In order to evolve the Internet to make it suitable for more flexible and efficient content-centric routing, a novel identification service called IDEA (Identification based Deft networking with Elastic Attributes) is proposed in this paper.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages207-208
Number of pages2
ISBN (Electronic)9781665470506
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan, Province of China
Duration: 2022 Jul 62022 Jul 8

Publication series

NameProceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
Country/TerritoryTaiwan, Province of China
CityTaipei
Period22/7/622/7/8

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Media Technology
  • Health Informatics
  • Instrumentation

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