An Intelligent Broadcasting Algorithm for Early Warning Message Dissemination in VANETs

Author

Bae, Ihn-Han

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-23

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

Vehicular ad hoc network (VANET) has gained much attention recently to improve road safety, reduce traffic congestion, and enable efficient traffic management because of its many important applications in transportation.

In this paper, an early warning intelligence broadcasting algorithm is proposed, EW-ICAST, to disseminate a safety message for VANETs.

The proposed EW-ICAST uses not only the early warning system on the basis of time to collision (TTC) but also the intelligent broadcasting algorithm on the basis of fuzzy logic.

Thus, the EW-ICAST resolves effectively broadcast storm problem and meets time-critical requirement.

The performance of EW-ICAST is evaluated through simulation and compared with that of other alert message dissemination algorithms.

From the simulation results, we know that EW-ICAST is superior to Simple, P-persistence, and EDB algorithms.

American Psychological Association (APA)

Bae, Ihn-Han. 2015. An Intelligent Broadcasting Algorithm for Early Warning Message Dissemination in VANETs. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074881

Modern Language Association (MLA)

Bae, Ihn-Han. An Intelligent Broadcasting Algorithm for Early Warning Message Dissemination in VANETs. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074881

American Medical Association (AMA)

Bae, Ihn-Han. An Intelligent Broadcasting Algorithm for Early Warning Message Dissemination in VANETs. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074881

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1074881