Modeling and analysis on congestion control in the Internet of Things

Jun Huang, Donggai Du, Qiang Duan, Yi Sun, Ying Yin, Tiantian Zhou, Yanguang Zhang

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

15 Scopus citations

Abstract

The large amount of data collected in the Internet of Things (IoT) need to be transmitted to servers for processing in order to provide various services. Due to the limited amount of resources in IoT, including network bandwidth, node processing abilities, and server capacities, congestion control in IoT plays a crucial role for meeting service performance requirements. In this paper, we propose a model for congestion control in IoT with an improved Random Early Discard (IRED) algorithm. We employ queueing theory to analyze the performance of the proposed control mechanism. We also conduct extensive simulations to evaluate performance of the proposed control and compare it with regular RED algorithm. Our analysis and simulation results show that the proposed control achieves comparable delay performance and better throughput performance compared to standard RED. The simple control mechanism of IRED makes it more suitable to be implemented in IoT.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Pages434-439
Number of pages6
ISBN (Print)9781479920037
DOIs
StatePublished - 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: Jun 10 2014Jun 14 2014

Publication series

Name2014 IEEE International Conference on Communications, ICC 2014

Other

Other2014 1st IEEE International Conference on Communications, ICC 2014
CountryAustralia
CitySydney, NSW
Period6/10/146/14/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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