Abstract
Vehicular Ad-hoc network (VANET) has gaining much attention recently to improve road safety, reduce traffic congestion, and to enable efficient traffic management because of its many important applications in transportation. In this paper, we propose an early warning intelligence broadcasting algorithm, 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.
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Bae, IH. (2014). An Intelligent Broadcasting Algorithm for Early Warning Message Dissemination in VANETs. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_48
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DOI: https://doi.org/10.1007/978-3-319-09147-1_48
Publisher Name: Springer, Cham
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