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Authors: Nisrine Ibadah 1 ; Khalid Minaoui 1 ; Mohammed Rziza 1 ; Mohammed Oumsis 2 and César Benavente-Peces 3

Affiliations: 1 LRIT Laboratory, Associated Unit to CNRST (URAC 29), IT Rabat Center, Faculty of Sciences, Mohammed V University in Rabat and Morocco ; 2 LRIT Laboratory, Associated Unit to CNRST (URAC 29), IT Rabat Center, Faculty of Sciences, Mohammed V University in Rabat, Morocco, High School of Technology, Mohammed V University in Rabat, Sale and Morocco ; 3 ETS Ingeniería y Sistemas de Telecomunicación, Universidad Politécnica de Madrid, Calle de Nikola Tesla sn., 28031 Madrid and Spain

ISBN: 978-989-758-385-8

Keyword(s): Maze Mobility Model, Mobility Metric, Spatial Node Distribution, Speed Decay Problem, Density Wave Phenomenon, Average Neighbor Percentage, Mobile Neighbors Range, Wireless Networks.

Abstract: Mobility modeling represents a critical task in mobile wireless networks to improve the overall throughput. This paper evaluates relevant spatial-temporal stochastic properties of the most frequently used synthetic mobility models compared to a new efficient mobility model named Maze Mobility Model (Maze MM). It imitates a real-life movement according to diverse mobility features, as spatial and temporal dependencies with also geographic restrictions. To demonstrate the efficiency of this new model, various metrics were validated such as; the speed decay problem, the density wave phenomenon, the spatial node distribution, the average neighbor percentage, and mobile neighbors range. Each mobility pattern may bear from diverse mobility flaws, as shown by network simulations. So, numerous metrics are employed to describe mobility features. The current research aims to deeply understand mobility features of Maze MM with the aim to deduce a definite judgment of each mobility metric, given that further this fact affects the whole network performances. The validation results are discussed to remark the effectiveness and robustness of Maze MM according to the validated mobility metrics. (More)

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Paper citation in several formats:
Ibadah, N.; Minaoui, K.; Rziza, M.; Oumsis, M. and Benavente-Peces, C. (2019). Flaws Validation of Maze Mobility Model using Spatial-temporal Synthetic Mobility Metrics.In Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS, ISBN 978-989-758-385-8, pages 106-112. DOI: 10.5220/0008168801060112

@conference{peccs19,
author={Nisrine Ibadah. and Khalid Minaoui. and Mohammed Rziza. and Mohammed Oumsis. and César Benavente{-}Peces.},
title={Flaws Validation of Maze Mobility Model using Spatial-temporal Synthetic Mobility Metrics},
booktitle={Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,},
year={2019},
pages={106-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008168801060112},
isbn={978-989-758-385-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems - Volume 1: PECCS,
TI - Flaws Validation of Maze Mobility Model using Spatial-temporal Synthetic Mobility Metrics
SN - 978-989-758-385-8
AU - Ibadah, N.
AU - Minaoui, K.
AU - Rziza, M.
AU - Oumsis, M.
AU - Benavente-Peces, C.
PY - 2019
SP - 106
EP - 112
DO - 10.5220/0008168801060112

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