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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Fernandez-Sanchez, CarlosAuthorDiaz, JessicaCorresponding AuthorPerez, JenniferAuthor

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June 9, 2019
Publications
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Article

A Model-Driven Engineering Process for Autonomic Sensor-Actuator Networks

Publicated to: International Journal of Distributed Sensor Networks. 2015 (684892): 684892-684892 - 2015-01-01 2015(684892), DOI: 10.1155/2015/684892

Authors:

Vidal, C; Fernández-Sánchez, C; Díaz, J; Pérez, J
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Affiliations

Univ Politecn Madrid, CITSEM, Escuela Tecn Super Ingn Sistemas Informat - Author

Abstract

Cyber-Physical Systems (CPS) are the next generation of embedded ICTsystems designed to be aware of the physical environment by using sensor-actuator networks to provide users with a wide range of smart applications and services. Many of these smart applications are possible due to the incorporation of autonomic control loops that implement advanced processing and analysis of historical and real-time data measured by sensors; plan actions according to a set of goals or policies; and execute plans through actuators. The complexity of this kind of systems requires mechanisms that can assist the system's design and development. This paper presents a solution for assisting the design and development of CPS based on Model-Driven Development: MindCPS (doMaIN moDel for CPS) solution. MindCPS solution is based on a model that provides modelling primitives for explicitly specifying the autonomic behaviour of CPS and model transformations for automatically generating part of the CPS code. In addition to the automatic code generation, the MindCPS solution offers the possibility of rapidly configuring and developing the core behaviour of a CPS, even for nonsoftware engineers. The MindCPS solution has been put into practice to deploy a smart metering system in a demonstrator located at the Technical University of Madrid.
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Keywords

Industry, innovation and infrastructure

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal International Journal of Distributed Sensor Networks due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Networks and Communications. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Information Systems.

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 2026-04-25:

  • Open Alex: 13
  • WoS: 7
  • Scopus: 16
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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 2026-04-25:

  • 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: 34 (PlumX).

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/41439/

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: 334
  • Downloads: 340
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 9 - Industry, innovation and infrastructure, with a probability of 41% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Vidal, Carlos) and Last Author (PEREZ BENEDI, JENIFER).

the author responsible for correspondence tasks has been DIAZ FERNANDEZ, JESSICA.

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Awards linked to the item

The work reported here has been partially sponsored by the Spanish fund: IMPONET (ITEA 2 09030, TSI-02400-2010-103), NEMO&CODED (ITEA2 08022, IDI-20110864), and MESC DPI2013-47450-C2-2-R. It has also been funded by the UPM (Technical University of Madrid) through its researcher training program.
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