Delay analysis of car-to-car reliable data delivery strategies based on data mulling with network coding

Joon Sang Park, Uichin Lee, Soon Young Oh, Mario Gerla, Desmond Siumen Lun, Won Woo Ro, Joonseok Park

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Vehicular ad hoc networks (VANET) aims to enhance vehicle navigation safety by providing an early warning system: any chance of accidents is informed through the wireless communication between vehicles. For the warning system to work, it is crucial that safety messages be reliably delivered to the target vehicles in a timely manner and thus reliable and timely data dissemination service is the key building block of VANET. Data mulling technique combined with three strategies, network codeing, erasure coding and repetition coding, is proposed for the reliable and timely data dissemination service. Particularly, vehicles in the opposite direction on a highway are exploited as data mules, mobile nodes physically delivering data to destinations, to overcome intermittent network connectivity cause by sparse vehicle traffic. Using analytic models, we show that in such a highway data mulling scenario the network coding based strategy outperforms erasure coding and repetition based strategies.

Original languageEnglish (US)
Pages (from-to)2524-2527
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE91-D
Issue number10
DOIs
StatePublished - Oct 2008
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

Keywords

  • Analysis
  • Data mule
  • Network coding
  • VANET

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