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Research Article | Open Access |

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
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 5 · Published 2019 · Cited by 11

DOI: https://doi.org/10.14569/IJACSA.2019.0100526

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.

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How to Cite this Article

Banikhalaf, M., Alomari, S. A., & Alzboon, M. S. (2019). An Advanced Emergency Warning Message Scheme based on Vehicles Speed and Traffic Densities. International Journal of Advanced Computer Science and Applications, 10(5). https://doi.org/10.14569/IJACSA.2019.0100526

Banikhalaf, Mustafa, et al.. "An Advanced Emergency Warning Message Scheme based on Vehicles Speed and Traffic Densities." International Journal of Advanced Computer Science and Applications, vol. 10, no. 5, 2019, https://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},
  volume    = {10},
  number    = {5},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Mustafa Banikhalaf and Saleh Ali Alomari and Mowafaq Salem Alzboon},
  doi       = {10.14569/IJACSA.2019.0100526},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100526}
}

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