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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

An Advanced Emergency Warning Message Scheme based on Vehicles Speed and Traffic Densities

Author 1: Mustafa Banikhalaf
Author 2: Saleh Ali Alomari
Author 3: Mowafaq Salem Alzboon

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100526

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.

  • Abstract and Keywords
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Abstract: In intelligent transportation systems, broadcasting Warning Messages (WMs) by Vehicular Ad hoc Networks (VANETs) communication is a significant task. Designing efficient dissemination schemes for fast and reliable delivery of WMs is still an open research question. In this paper, we propose a novel messaging scheme, Advanced Speed and Density Warning Message (ASDWM). ASDWM is a broadcast-based scheme that meets design objectives and achieves high saved rebroadcast and reachability, as well as low end-to-end latency of WM delivery. The ASDWM uses vehicle speeds and vehicles density degrees to help emergency vehicles to send WM according to a road condition, adaptively. Simulation results demonstrate the effectiveness and superiority of the ASDWM over its counterparts.

Keywords: Warning message; the broadcast storm problem; emergency vehicles

Mustafa Banikhalaf, Saleh Ali Alomari and Mowafaq Salem Alzboon, “An Advanced Emergency Warning Message Scheme based on Vehicles Speed and Traffic Densities” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100526

@article{Banikhalaf2019,
title = {An Advanced Emergency Warning Message Scheme based on Vehicles Speed and Traffic Densities},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100526},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100526},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Mustafa Banikhalaf and Saleh Ali Alomari and Mowafaq Salem Alzboon}
}


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