IDEA: Identification based Deft networking with Elastic Attributes

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ207-208
ページ数2
ISBN(電子版)9781665470506
DOI
出版ステータスPublished - 2022
イベント2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan, Province of China
継続期間: 2022 7月 62022 7月 8

出版物シリーズ

名前Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

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

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • ハードウェアとアーキテクチャ
  • 再生可能エネルギー、持続可能性、環境
  • 電子工学および電気工学
  • メディア記述
  • 健康情報学
  • 器械工学

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