Evidence map›Paper›PMID 40363323›Full record

ArticleSensors (Basel, Switzerland)2025

A Blockchain Framework for Scalable, High-Density IoT Networks of the Future.

Alexandru A Maftei, Adrian I Petrariu, Valentin Popa, Alexandru Lavric

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Alexandru A MafteiComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.
Adrian I PetrariuComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0002-6188-5610
Valentin PopaComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.
Alexandru LavricComputers, Electronics and Automation Department, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.ORCID 0000-0001-7734-4854

Funding

Ministry of Research, Innovation and Digiti- 900 zation, CNCS -UEFISCDI project number PN-IV-P2-2.1-TE-2023-1476, within PNCDI IV
6 · The paper itself

Abstract

The Internet of Things has transformed industries, cities, and homes through a vast network of interconnected devices. As the IoT expands, the number of devices is projected to reach tens of billions, generating massive amounts of data. This growth presents significant data storage, management, and security challenges, especially in large-scale deployments such as smart cities and industrial operations. Traditional centralized solutions struggle to handle the high data volume and heterogeneity of IoT data, while ensuring real-time processing and interoperability. This paper presents the design, development, and evaluation of a blockchain framework tailored for the secure storage and management of data generated by IoT devices. Our framework introduces efficient methods for managing, transmitting, and securing data packets within a blockchain-enabled IoT network. The proposed framework uses a gateway node to aggregate multiple data packets into single transactions, increasing throughput, optimizing network bandwidth, reducing latency, simplifying data retrieval, and improving scalability. The results obtained from rigorous analysis and testing of the evaluated scenarios show that the proposed blockchain framework achieves a high level of performance, scalability, and efficiency while ensuring robust security being able to integrate a large number of IoT devices in a flexible manner.

Indexed as

blockchainHyperledger BesuInternet of Things (IoT)massive data storageQBFTscalabilitysecurity

Identifiers

PMID40363323
PMCPMC12074401

What OpenQuestion holds

Textmetadata
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.