A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks

Dongxu Jin, Fei Shi, Jooseok Song

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

8 Citations (Scopus)

Abstract

In traffic safety applications for vehicular ad hoc networks (VANETs), emergency messages have to be disseminated quickly and extensively in order to inform as many vehicles as possible in a short period of time. Hence, the broadcast storm problem is prone to occur. In the past, several approaches have been proposed to solve the problem. Among them, we find counter-, distance-, location-, cluster-, and probabilistic-based schemes. In this paper, we analyze existing protocols and present a novel scheme that is designed to mitigate the broadcast storm problem, reduce the end-to-end latency in real urban scenarios, and deal with the faults that occur during transmission. The proposed routing protocol assigns a density adopted dynamic back-off time based on traffic flow theory to vehicle. It ensures the dissemination of the emergency message onto every part of the road, and when there is no relay vehicle, the emergency message will be retransmitted. We use the GrooveNet simulator to demonstrate that the proposed scheme has a low collision probability, low overhead and a short end-to-end latency.

Original languageEnglish
Title of host publication2015 International Conference on Information Networking, ICOIN 2015
PublisherIEEE Computer Society
Pages57-62
Number of pages6
ISBN (Electronic)9781479983421
DOIs
Publication statusPublished - 2015 Mar 10
Event2015 International Conference on Information Networking, ICOIN 2015 - Siem Reap, Cambodia
Duration: 2015 Jan 122015 Jan 14

Publication series

NameInternational Conference on Information Networking
Volume2015-January
ISSN (Print)1976-7684

Other

Other2015 International Conference on Information Networking, ICOIN 2015
Country/TerritoryCambodia
CitySiem Reap
Period15/1/1215/1/14

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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