Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET

Nisrine Ibadah, Khalid Minaoui, Mohammed Rziza, Mohammed Oumsis

Abstract

Many performance analyses are already done with a lot of flaws. But, they do not look to all influenced constraints. In this study, we aim to summarize several parameters into 90 different scenarios with an average of 1350 simulated files. That shows results of three performance metrics combined with five mobile ad hoc routing protocols under three synthetic mobility models. All these parameters are applied to two dissimilar simulation areas. Basing on one exhaustive analysis with all these details like this paper; leads to well understand the accurate behaviors of routing protocols and mobility models used. By displaying the ability of every routing protocol to deal with some topology changes, as well as to ensure network performances.

References

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Paper Citation


in Harvard Style

Ibadah N., Minaoui K., Rziza M. and Oumsis M. (2017). Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET . In Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-211-0, pages 168-173. DOI: 10.5220/0006203601680173


in Bibtex Style

@conference{sensornets17,
author={Nisrine Ibadah and Khalid Minaoui and Mohammed Rziza and Mohammed Oumsis},
title={Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET},
booktitle={Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2017},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006203601680173},
isbn={978-989-758-211-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Experimental Synthesis of Routing Protocols and Synthetic Mobility Modeling for MANET
SN - 978-989-758-211-0
AU - Ibadah N.
AU - Minaoui K.
AU - Rziza M.
AU - Oumsis M.
PY - 2017
SP - 168
EP - 173
DO - 10.5220/0006203601680173