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

Rungrot Sukjaimuk, Quang N. Nguyen, Takuro Sato

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

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE Region 10 Symposium, Tensymp 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages63-68
Number of pages6
ISBN (Electronic)9781538669891
DOIs
Publication statusPublished - 2018 Jul 2
Event2018 IEEE Region 10 Symposium, Tensymp 2018 - Sydney, Australia
Duration: 2018 Jul 12018 Jul 6

Publication series

Name2018 IEEE Region 10 Symposium, Tensymp 2018

Conference

Conference2018 IEEE Region 10 Symposium, Tensymp 2018
Country/TerritoryAustralia
CitySydney
Period18/7/118/7/6

Keywords

  • Dynamic Congestion Control
  • FI (Future Internet)
  • ICN (Information-Centric Networking)
  • IoT (Internet of Things)
  • Sensor Networking

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Waste Management and Disposal
  • Health Informatics

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