V-BAG: A virtual bandwidth aggregation scheme for internet of things data

Yongsu Gwak, Young Yong Kim, Ronny Yongho Kim

Research output: Contribution to journalArticle

Abstract

In order to meet the two crucial requirements of Internet of Things (support of a large number of Internet of Things devices and low power consumption), this article proposes a novel and efficient virtual bandwidth aggregation scheme for Internet of Things data. Since many Internet of Things applications require reliable Internet of Things data transmission, a Transmission Control Protocol is chosen as a transport protocol in this article. The proposed scheme consists of three salient functions: packet scheduler, estimator, and ACK buffer. The packet scheduler provides an efficient heterogeneous link selection using the proposed scheduling algorithm. The estimator provides an accurate delay and bandwidth estimation of heterogeneous wireless links using network layer information. Finally, the ACK buffer substantially boosts the performance of the scheduler and estimator with a simple ACK buffering scheme. Our extensive analysis using a numerical method and simulation corroborates the outstanding performance of the proposed scheme. Because of the salient functions of the proposed scheme, it can provide maximum capacity for future Internet of Things data transmission.

Original languageEnglish
JournalInternational Journal of Distributed Sensor Networks
Volume13
Issue number4
DOIs
Publication statusPublished - 2017 Jan 1

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Agglomeration
Bandwidth
Data communication systems
Transmission control protocol
Network layers
Scheduling algorithms
Telecommunication links
Internet of things
Numerical methods
Electric power utilization
Network protocols
Computer simulation

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Networks and Communications

Cite this

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V-BAG : A virtual bandwidth aggregation scheme for internet of things data. / Gwak, Yongsu; Kim, Young Yong; Kim, Ronny Yongho.

In: International Journal of Distributed Sensor Networks, Vol. 13, No. 4, 01.01.2017.

Research output: Contribution to journalArticle

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