Reliable Data Dissemination Strategy based on Systematic Network Coding in V2I Networks

Jungmin Kwon, Hyunggon Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, we propose a real-time data dissemination system based on systematic network coding (SNC) in Vehicular to infrastructure (V2I) network. We consider the delivery of data broadcasted over packet erasure V2I channels where the speed of vehicles changes over time. Unlike conventional existing SNC, we propose an encoding algorithm that adaptively determines how many packets need to be network coded together while explicitly considering traffic state. Specifically, we adopt regression models for estimating traffic states and show that the proposed approach outperforms in terms of decoding error rate in time-varying traffic. Our experiment results using actual highway traffic data show that the decoding error rate of the proposed approach can be reduced by 11.11% and thus confirm the effectiveness and reliability.

Original languageEnglish
Title of host publicationICTC 2019 - 10th International Conference on ICT Convergence
Subtitle of host publicationICT Convergence Leading the Autonomous Future
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages744-746
Number of pages3
ISBN (Electronic)9781728108926
DOIs
StatePublished - Oct 2019
Event10th International Conference on Information and Communication Technology Convergence, ICTC 2019 - Jeju Island, Korea, Republic of
Duration: 16 Oct 201918 Oct 2019

Publication series

NameICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

Conference

Conference10th International Conference on Information and Communication Technology Convergence, ICTC 2019
Country/TerritoryKorea, Republic of
CityJeju Island
Period16/10/1918/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Systematic network coding (SNC)
  • broadcast
  • regression model
  • traffic estimation
  • vehicle to infrastructure (V2I) network

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