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

Dongxu Jin, Fei Shi, Joo Seok Song

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

5 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
CountryCambodia
CitySiem Reap
Period15/1/1215/1/14

Fingerprint

Vehicular ad hoc networks
Routing protocols
Simulators
Network protocols

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Jin, D., Shi, F., & Song, J. S. (2015). A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks. In 2015 International Conference on Information Networking, ICOIN 2015 (pp. 57-62). [7057857] (International Conference on Information Networking; Vol. 2015-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2015.7057857
Jin, Dongxu ; Shi, Fei ; Song, Joo Seok. / A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks. 2015 International Conference on Information Networking, ICOIN 2015. IEEE Computer Society, 2015. pp. 57-62 (International Conference on Information Networking).
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Jin, D, Shi, F & Song, JS 2015, A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks. in 2015 International Conference on Information Networking, ICOIN 2015., 7057857, International Conference on Information Networking, vol. 2015-January, IEEE Computer Society, pp. 57-62, 2015 International Conference on Information Networking, ICOIN 2015, Siem Reap, Cambodia, 15/1/12. https://doi.org/10.1109/ICOIN.2015.7057857

A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks. / Jin, Dongxu; Shi, Fei; Song, Joo Seok.

2015 International Conference on Information Networking, ICOIN 2015. IEEE Computer Society, 2015. p. 57-62 7057857 (International Conference on Information Networking; Vol. 2015-January).

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

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Jin D, Shi F, Song JS. A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks. In 2015 International Conference on Information Networking, ICOIN 2015. IEEE Computer Society. 2015. p. 57-62. 7057857. (International Conference on Information Networking). https://doi.org/10.1109/ICOIN.2015.7057857