Deep Validation of Spatial Temporal Features of Synthetic Mobility Models

Author:

Ibadah Nisrine,Minaoui Khalid,Rziza Mohammed,Oumsis Mohammed,Benavente-Peces CésarORCID

Abstract

This paper analyzes the most relevant spatial-temporal stochastic properties of benchmark synthetic mobility models. Each pattern suffers from various mobility flaws, as will be shown by the models’ validation. A set of metrics is used to describe mobility features, such as the speed decay problem, the density wave phenomenon, the spatial node distribution, and the average neighbor percentage. These metrics have already been validated for the random waypoint mobility model (RWPMM), but they have not yet been verified for other mobility patterns that are most frequently used. For this reason, this investigation attempts to deeply validate those metrics for other mobility models, namely the Manhattan Grid mobility, the Reference Point Group mobility, the Nomadic Community mobility, the Self-Similar Least Action Walk, and SMOOTH models. Moreover, we propose a novel mobility metric named the “node neighbors range”. The relevance of this new metric is that it proves at once the set of outcomes of previous metrics. It offers a global view of the overall range of mobile neighbors during the experimental time. The current research aims to more rigorously understand mobility features in order to conduct a precise assessment of each mobility flaw, given that this fact further impacts the performance of the whole network. These validations aim to summarize several parameters into 18,126 different scenarios with an average of 486 validated files. An exhaustive analysis with details like those found in this paper leads to a good understanding of the accurate behaviors of mobility models by displaying the ability of every pattern to deal with certain topology changes, as well as to ensure network performances. Validation results confirm the effectiveness and robustness of our novel metric.

Publisher

MDPI AG

Subject

Computer Networks and Communications,Human-Computer Interaction

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of Random, Temporal, Spatial, Geographic, and Trace-Based Mobility Models in Mobile Ad Hoc Networks;Lecture Notes in Networks and Systems;2024

2. An Efficient Neural Network-Based Prediction Scheme for Heterogeneous Networks;International Journal of Sociotechnology and Knowledge Development;2020-04

3. Flexible synthetic mobility modeling to discover trajectories for complex areas of mobile wireless networks;Journal of Ambient Intelligence and Humanized Computing;2019-07-02

4. Flaws Validation of Maze Mobility Model using Spatial-temporal Synthetic Mobility Metrics;Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems;2019

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