The rate of merging collision in TDMA-based VANETs

Jeng Ji Huang, Min Hui Ho

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

Abstract

We consider vehicular ad hoc networks (VANETs) in which time division multiple access (TDMA) is employed on the control channel. In order to avoid hidden terminal problems, a time slot can be reserved by a vehicle only when the time slot is unreserved by its one-hop and two-hop neighbors. However, frequent topology changes in VANETs may lead to conflicts between time slot reservations, causing reselection of time slots by vehicles. This problem is known as merging collision. An analytical model is thus proposed in this paper to evaluate the rate of merging collision incurred by a vehicle. We show that the proposed analytical model can provide very accurate results over a wide variety of vehicle traffic densities, as compared with computer simulations.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
PublisherIOS Press
Pages1525-1534
Number of pages10
ISBN (Electronic)9781614994831
DOIs
Publication statusPublished - 2015 Jan 1
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 2014 Dec 122014 Dec 14

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume274
ISSN (Print)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
CountryTaiwan
CityTaichung
Period14/12/1214/12/14

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Keywords

  • analytical model
  • merging collision
  • time division multiple access (TDMA)
  • vehiclular ad hoc networks (VANETs)

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Huang, J. J., & Ho, M. H. (2015). The rate of merging collision in TDMA-based VANETs. In W. C-C. Chu, S. J-H. Yang, & H-C. Chao (Eds.), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (pp. 1525-1534). (Frontiers in Artificial Intelligence and Applications; Vol. 274). IOS Press. https://doi.org/10.3233/978-1-61499-484-8-1525