An Optimal Information Centric Networking Model for the Future Green Network

Quang N. Nguyen, M. Arifuzzaman, T. Miyamoto, Sato Takuro

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

14 Citations (Scopus)

Abstract

In order to address the energy flaw and enhance the energy efficiency of Information Centric Networking (ICN) Architecture, this research proposes an innovated optimal ICN model with adaptive power consumption ability based on the popularity of the content to adapt content router link rate to its real-time utilization for optimizing the ICN router operating power value and based on the interest traffic to the server to select the optimal working mode for the server/content provider. With this dynamic control/adaptive mechanism, the proposed architecture can provide higher reliability with dynamic energy efficiency consumption and better cost-effectiveness for the future ICN infrastructure system to reduce electricity usage, cost and greenhouse gases, then solve global warming issues.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages272-277
Number of pages6
ISBN (Electronic)9781479982615
DOIs
Publication statusPublished - 2015 Apr 29
Event2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015 - Taichung, Taiwan, Province of China
Duration: 2015 Mar 252015 Mar 27

Publication series

NameProceedings - 2015 IEEE 12th International Symposium on Autonomous Decentralized Systems, ISADS 2015

Other

Other2015 12th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2015
Country/TerritoryTaiwan, Province of China
CityTaichung
Period15/3/2515/3/27

Keywords

  • Adaptive Link Rate (ALR)
  • Future Internet
  • Green Network
  • Information Centric Networking (ICN)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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