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Reinosa Simón, RaúlAuthorNegueroles, ScCorresponding AuthorJulian, MAuthorBelsa, AAuthorLacalle, IAuthorPalau, CeAuthor

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A Blockchain-based Digital Twin for IoT deployments in logistics and transportation

Publicated to:Future Generation Computer Systems-The International Journal Of Escience. 158 73-88 - 2024-09-01 158(), DOI: 10.1016/j.future.2024.04.011

Authors: Negueroles, Salvador Cunat; Simon, Raul Reinosa; Julian, Matilde; Belsa, Andreu; Lacalle, Ignacio; S-Julian, Raul; Palau, Carlos E

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Abstract

Digital Twins are software technologies that enable the modelling of real -world phenomena in digitised environments, representing and monitoring the reality of various processes, including IoT deployments. Since 2017, the use of Digital Twins has been increasing. However, in the road transport and logistics realm, the adoption rate remains low, primarily due to the costs of processing and validating data in centralised scenarios, among other factors. On the other hand, Blockchain technologies were created to provide immutable and decentralised data storage in diverse scenarios, adding a layer of isolation and reliability in heterogeneous solutions. This paper presents a case study proposing a Digital Twin based on open -source Blockchain technologies, such as FIWARE Canis Major. The primary goal is to design and implement a robust and efficient open -source architecture that allows for the control and optimisation of vehicle fleet allocations in logistics/transport companies within supply chain management. This case study aims to showcase the practical application of the proposed solution in a real -world context, providing insights into its eco-friendly and low-cost attributes while opening the door to a large number of additional applications.

Keywords

BlockchainCanis majorDigital twinEthereumFiwareSmart logistics

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Future Generation Computer Systems-The International Journal Of Escience due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 14/144, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Theory & Methods. Notably, the journal is positioned above the 90th percentile.

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 2025-06-03:

  • WoS: 7
  • Scopus: 11

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 2025-06-03:

  • 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: 196.
  • 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: 184 (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: 10.

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 (Cuñat Negueroles, Salvador) and Last Author (Palau Salvador, Carlos Enrique).

the author responsible for correspondence tasks has been Cuñat Negueroles, Salvador.