Evidence map›Paper›PMID 41094895›Full record

ArticleSensors (Basel, Switzerland)2025

Evaluation of Connectivity Reliability of VANETs Considering Node Mobility and Multiple Failure Modes.

Junhai Cao, Yunlong Bian, Chengming He, Fusheng Liu, Dan Xu, Yiming Guo

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

6 authors.

Junhai CaoDepartment of Equipment Support and Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China.
Yunlong BianDepartment of Equipment Support and Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China.
Chengming HeDepartment of Equipment Support and Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China.
Fusheng LiuDepartment of Equipment Support and Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China.
Dan XuDepartment of Equipment Support and Remanufacturing, Army Academy of Armored Forces, Beijing 100072, China.
Yiming GuoUnit 92942, PLA, Beijing 100161, China.

Funding

Army Academy of Armored Forces 2024CJ77
6 · The paper itself

Abstract

As a subclass of Mobile Ad hoc Networks (MANETs), Vehicle Ad hoc Networks (VANETs) possess multi-hop relay communication and dynamic topology reconstruction capabilities and are widely applied in various social activities. When they are used as clusters to perform various disaster search and rescue operations or communication relay, reliable, secure, and timely communication connectivity becomes particularly important. This paper focuses on the research of connectivity reliability in VANETs, emphasizing the impact of node movement characteristics and various failure modes on the connectivity reliability of VANETs: As a cluster, the nodes in VANETs have interactive relationships and no longer follow a random movement model, exhibiting regular movements of the network as a whole; the failure modes of nodes in VANETs include vehicular hardware/software failure, energy consumption failure, intentional attack, and isolation failure. Additionally, to optimize node communication energy consumption, the paper proposes a routing path identification algorithm. Finally, the paper presents a simulation algorithm for solving the connectivity reliability of VANETs. Through MATLAB simulation experiments, the effectiveness and correctness of the proposed algorithm are verified, and it is found that the attraction distance between nodes has a certain impact on the isolation failure mode and connectivity reliability.

Indexed as

connectivity reliabilityfailuremobilitysimulationVANETs

Identifiers

PMID41094895
PMCPMC12526799

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.