{rfName}
No

Indexed in

License and Use

Icono OpenAccess

Citations

10

Altmetrics

Analysis of institutional authors

Zazo, SantiagoAuthor

Share

June 9, 2019
Publications
>
Article
Sí

Nonparametric generalized belief propagation based on pseudo-junction tree for cooperative localization in wireless networks

Publicated to: Eurasip Journal on Advances in Signal Processing. 2013 (16): 16- - 2013-05-20 2013(16), DOI: 10.1186/1687-6180-2013-16

Authors:

Savic, V; Zazo, S
[+]

Affiliations

Linkoping Univ, Dept Elect Engn ISY, Linkoping, Sweden - Author
Univ Politecn Madrid, Signal Proc Applicat Grp, Madrid, Spain - Author

Abstract

Non-parametric belief propagation (NBP) is a well-known message passing method for cooperative localization in wireless networks. However, due to the over-counting problem in the networks with loops, NBP's convergence is not guaranteed, and its estimates are typically less accurate. One solution for this problem is non-parametric generalized belief propagation based on junction tree. However, this method is intractable in large-scale networks due to the high-complexity of the junction tree formation, and the high-dimensionality of the particles. Therefore, in this article, we propose the non-parametric generalized belief propagation based on pseudo-junction tree (NGBP-PJT). The main difference comparing with the standard method is the formation of pseudo-junction tree, which represents the approximated junction tree based on thin graph. In addition, in order to decrease the number of high-dimensional particles, we use more informative importance density function, and reduce the dimensionality of the messages. As by-product, we also propose NBP based on thin graph (NBP-TG), a cheaper variant of NBP, which runs on the same graph as NGBP-PJT. According to our simulation and experimental results, NGBP-PJT method outperforms NBP and NBP-TG in terms of accuracy, computational, and communication cost in reasonably sized networks.
[+]

Keywords

ConnectivityGraphical modelsSelf-localizationSensor

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Eurasip Journal on Advances in Signal Processing 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, 2013, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Signal Processing. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Engineering, Electrical & Electronic.

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: 4
  • Scopus: 6
[+]

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, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 7.
  • 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: 7 (PlumX).

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

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network Facebook: 1 (Altmetric).

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/28868/

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: 361
  • Downloads: 217
[+]

Leadership analysis of institutional authors

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

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 (Savic, Vladimir) and Last Author (ZAZO BELLO, SANTIAGO).

the author responsible for correspondence tasks has been Savic, Vladimir.

[+]

Awards linked to the item

This study was supported in part by the FPU fellowship from Spanish Ministry of Science and Innovation; program CONSOLIDER-INGENIO 2010 under the grant CSD2008-00010 COMONSENS; the European Commission under the grant FP7-ICT-2009-4-248894-WHERE-2; the Swedish Foundation for Strategic Research (SSF) and ELLIIT.
[+]