Evidence map›Paper›PMID 35808204›Full record

ArticleSensors (Basel, Switzerland)2022

Trust Model Concept for IoT Blockchain Applications as Part of the Digital Transformation of Metrology.

Kruno Miličević, Luka Omrčen, Mirko Kohler, Ivica Lukić

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Toward Sensor Measurement Reliability in Blockchains.Sensors (Basel, Switzerland) · 2023
    Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kruno MiličevićFaculty of Electrical Engineering, Computer Science and IT Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.ORCID 0000-0002-8896-5071
Luka OmrčenFaculty of Electrical Engineering, Computer Science and IT Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.
Mirko KohlerFaculty of Electrical Engineering, Computer Science and IT Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.
Ivica LukićFaculty of Electrical Engineering, Computer Science and IT Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia.ORCID 0000-0001-7867-3385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trends for the digital transformation of metrology and regulation of metrology through IT have some keywords in common with the main properties of the blockchain, such as traceability, immutability, and machine-readable documents. The possible applicability of the blockchain as an innovative IT solution for metrology regulation is known in the scientific community. Still, blockchain implementation must consider the entire metrology pyramid-the technical aspects and the legal framework intrinsic to metrology. This is also valid for possible IoT blockchain applications. In resolving the issues, this paper applies a bottom-up approach, starting from IoT devices analyzed as oracles and building up to the sole definition of measurement units, thereby discussing technical aspects concerning relevant standardization documents. The resulting trust model concept encompasses the vertical and horizontal traceability of the measurement results (oracle data), where normative standards and legal requirements are crucial for building trust. Conclusively, for practical implementations, it will be necessary to analyze blockchain properties and applicability with a view to the standard requirements, as shown for WELMEC.

Indexed as

blockchainIoTmetrology

Identifiers

PMID35808204
PMCPMC9269435

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.