Naming scheme using NLP machine learning method for network weather monitoring system based on ICN

Toru Mochida, Daichi Nozaki, Koki Okamoto, Xin Qi, Zheng Wen, Takuro Sato, Keping Yu

研究成果

5 被引用数 (Scopus)

抄録

The market for IoT devices has been expanding rapidly for several years, and many fields are anticipating further demand in the future. However, together with this expansion, increased communication failures are expected, and solutions to prevent them are needed. Here, we aim to solve communication problems using a new network, called the CCN x(Contents Centric Networking), which is one of the leading ICN (Information Centric Networking) solutions. Our system was constructed by assuming the case of a weather monitoring IoT application in which large data communications were very likely to occur. In this paper, we propose a technique for distributing meteorological data gathered with a weather observation device and 4K camera by ICN, and caching content with a new Naming scheme using machine learning.

本文言語English
ホスト出版物のタイトルProceedings - 20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
出版社IEEE Computer Society
ページ428-434
ページ数7
ISBN(電子版)9781538627679
DOI
出版ステータスPublished - 2018 2 22
イベント20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017 - Bali, Indonesia
継続期間: 2017 12 172017 12 20

出版物シリーズ

名前International Symposium on Wireless Personal Multimedia Communications, WPMC
2017-December
ISSN(印刷版)1347-6890

Other

Other20th International Symposium on Wireless Personal Multimedia Communications, WPMC 2017
国/地域Indonesia
CityBali
Period17/12/1717/12/20

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 人間とコンピュータの相互作用

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