Evidence map›Paper›PMID 42590741›Full record

ReviewSensors (Basel, Switzerland)2026

Automotive Telemetry in Connected Vehicles: A Review of 5G and Satellite Communication Technologies for Long-Range Data Transmission.

Jozef Jaroslav Fekiač, Lucia Kakošová, Michal Krbata, Marcel Kohutiar, Alena Breznická, Pavol Mikuš, Maroš Eckert

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jozef Jaroslav FekiačFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.ORCID 0009-0001-6392-8389
Lucia KakošováFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.ORCID 0009-0002-3041-4290
Michal KrbataFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.ORCID 0000-0002-0520-8180
Marcel KohutiarFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.ORCID 0000-0002-4710-5913
Alena BreznickáFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.
Pavol MikušFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.ORCID 0000-0002-7314-9258
Maroš EckertFaculty of Special Technology, Alexander Dubcek University of Trenčín, 911 06 Trenčín, Slovakia.

Funding

European Union 17104-04-V05-00087
6 · The paper itself

Abstract

The rapid evolution of connected and autonomous vehicles has significantly increased the importance of automotive telemetry as a fundamental component of intelligent transportation systems. Modern vehicles continuously generate large volumes of operational, environmental, and behavioral data that must be transmitted, processed, and analyzed in real time to support applications such as predictive maintenance, remote diagnostics, cooperative mobility, and autonomous driving. The growing demand for reliable and large-scale data exchange has highlighted the critical role of advanced communication infrastructures in connected mobility ecosystems. This review provides a comprehensive overview of automotive telemetry technologies with a particular focus on communication solutions enabling long-range data transmission. The study examines the architecture of automotive telemetry systems, connected vehicles, and the Internet of Vehicles, followed by an analysis of Vehicle-to-Everything (V2X) communication, fifth-generation (5G) mobile networks, satellite communication systems, and emerging hybrid 5G-satellite architectures. In addition, the review discusses Software Defined Vehicles, Digital Twin technologies, artificial intelligence integration, and cybersecurity challenges associated with highly connected transportation environments. The analysis demonstrates that no single communication technology can satisfy all requirements of future intelligent mobility systems. Instead, hybrid communication architectures combining terrestrial and non-terrestrial networks are expected to provide the reliability, coverage, scalability, and low-latency performance required for next-generation connected transportation. Finally, key research challenges and future development directions are identified, emphasizing the growing convergence of telemetry, communication networks, artificial intelligence, digital twins, and cybersecurity within future connected mobility ecosystems.

Indexed as

5G communicationautomotive telemetryconnected vehiclescybersecuritydigital twinsintelligent transportation systemsinternet of vehiclessatellite communicationsoftware defined vehiclesV2X

Identifiers

PMID42590741
PMCPMC13469681

What OpenQuestion holds

Textmetadata
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.