Temporal Evolution of Vehicular Network Simulators: Challenges and Perspectives

Mauricio J. Silva, Genilson I. Silva, Fernando A. Teixeira, Ricardo A. Oliveira

2018

Abstract

New proposals of applications and protocols for vehicular networks appear every day. Its crucial to evaluate, test and validate these proposals on a large scale before deploying them in the real world. Simulation is by far the preferred method by the community when conducting the evaluation. In this paper we survey the main simulators for vehicular networks and show how they evolved over time. Thus, we provide information that leads to an understanding of how, and how long does it take for the scientific community to absorb a new simulator proposal. Additionally, valuable insights are presented to help researchers make better choices when selecting the appropriate simulator to evaluate new proposals.

Paper Citation

in Harvard Style

Silva M., Silva G., Teixeira F. and Oliveira R. (2018). Temporal Evolution of Vehicular Network Simulators: Challenges and Perspectives.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-298-1, pages 51-60. DOI: 10.5220/0006696900510060

in Bibtex Style

@conference{iceis18,
author={Mauricio J. Silva and Genilson I. Silva and Fernando A. Teixeira and Ricardo A. Oliveira},
title={Temporal Evolution of Vehicular Network Simulators: Challenges and Perspectives},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2018},
pages={51-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006696900510060},
isbn={978-989-758-298-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Temporal Evolution of Vehicular Network Simulators: Challenges and Perspectives
SN - 978-989-758-298-1
AU - Silva M.
AU - Silva G.
AU - Teixeira F.
AU - Oliveira R.
PY - 2018
SP - 51
EP - 60
DO - 10.5220/0006696900510060