Dynamic Congestion Control in Information-Centric Networking Utilizing Sensors for the IoT

Rungrot Sukjaimuk, Quang N. Nguyen, Takuro Sato

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Network congestion control is an important criterion to evaluate the network performance. This is a major research challenge in ICN (Information-Centric Networking), especially in the case of high congestion in a Sensor Network for the IoT (Internet of Things). The reason is that the content producers in ICN need to reply a huge number of content requests from the consumers. In this paper, we propose a hierarchical ICN model for IoT sensor network with dynamic congestion control mechanism. The proposed network system transmits the content with content popularity and priority-based delay time, together with adaptive content lifetime and cache management strategy. The evaluation results using ndnSIM show that the proposed model can provide higher network performance efficiency for the future Internet by achieving higher throughput with lower Interest packet drop rate and higher cache hit rate as we increase the number of IoT sensors in ICN.

本文言語English
ホスト出版物のタイトル2018 IEEE Region 10 Symposium, Tensymp 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ63-68
ページ数6
ISBN(電子版)9781538669891
DOI
出版ステータスPublished - 2018 7月 2
イベント2018 IEEE Region 10 Symposium, Tensymp 2018 - Sydney, Australia
継続期間: 2018 7月 12018 7月 6

出版物シリーズ

名前2018 IEEE Region 10 Symposium, Tensymp 2018

Conference

Conference2018 IEEE Region 10 Symposium, Tensymp 2018
国/地域Australia
CitySydney
Period18/7/118/7/6

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • エネルギー工学および電力技術
  • 廃棄物管理と処理
  • 健康情報学

フィンガープリント

「Dynamic Congestion Control in Information-Centric Networking Utilizing Sensors for the IoT」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル