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Analysis of institutional authors

Benavente-Peces, CesarAuthor

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June 9, 2019
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Deep Validation of Spatial Temporal Features of Synthetic Mobility Models

Publicated to: Computers. 7 (4): 71- - 2018-12-01 7(4), DOI: 10.3390/computers7040071

Authors:

Ibadah, Nisrine; Minaoui, Khalid; Rziza, Mohammed; Oumsis, Mohammed; Benavente-Peces, Cesar
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Affiliations

Mohammed V Univ Rabat, Fac Sci, Rabat IT Ctr, LRIT Lab,Associated Unit CNRST URAC 29, Rabat 1014 - Author
Mohammed V Univ Rabat, High Sch Technol - Author
Univ Politecn Madria, ETS Ingn & Sistemas Telecomunicac, Ctra Valencia,Km 7 - Author
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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.
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Keywords

Average neighbor percentageDensity wave phenomenonManagementMobile neighbors rangeMobility metricMobility modelOutageSpatial node distributionSpeed decay problemWireless networks

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-26:

  • WoS: 1
  • Scopus: 8
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-26:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/54981/

    As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

    • Views: 273
    • Downloads: 125
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    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Morocco.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (BENAVENTE PECES, CESAR).

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