Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions

Open access
Raza, Salman, Wang, Shangguang, Ahmed, Manzoor, Anwar, Muhammad Rizwan·2019·Wireless Communications and Mobile Computing

Abstract

A new networking paradigm, Vehicular Edge Computing (VEC), has been introduced in recent years to the vehicular network to augment its computing capacity. The ultimate challenge to fulfill the requirements of both communication and computation is increasingly prominent, with the advent of ever-growing modern vehicular applications. With the breakthrough of VEC, service providers directly host services in close proximity to smart vehicles for reducing latency and improving quality of service (QoS). This paper illustrates the VEC architecture, coupled with the concept of the smart vehicle, its services, communication, and applications. Moreover, we categorized all the technical issues in the VEC architecture and reviewed all the relevant and latest solutions. We also shed some light and pinpoint future research challenges. This article not only enables naive readers to get a better understanding of this latest research field but also gives new directions in the field of VEC to the other researchers.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1155/2019/3159762

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 50 references

Research works printed but not linked: 19

  1. 10.1109/JSAC.2011.110107 · doi:10.1109/jsac.2011.110107
  2. 2014, IEEE Spectrum, 31
  3. 2017, International Journal of Computer Science and Engineering, 9
  4. 2015, International Journal of Emerging Technology and Advanced Engineering, 5, 266
  5. 2013, InTech
  6. 10.1108/02602280910926715 · doi:10.1108/02602280910926715
  7. 2018, Wireless Communications and Mobile Computing, 2018
  8. 2012, Procedia Computer Science, 10, 785, 10.1016/j.procs.2012.06.100 · doi:10.1016/j.procs.2012.06.100
  9. 10.1007/s13177-014-0108-x · doi:10.1007/s13177-014-0108-x
  10. 2014, National Research Council Canada, 10
  11. 10.5120/17123-7717 · doi:10.5120/17123-7717
  12. 2011, International Journal of Emerging Sciences, 1, 634
  13. 2018, Computer Science, Information Theory
  14. 10.1109/TMM.2016.2544698 · doi:10.1109/tmm.2016.2544698
  15. 10.11003/JPNT.2016.5.3.119 · doi:10.11003/jpnt.2016.5.3.119
  16. 10.5120/13505-1254 · doi:10.5120/13505-1254
  17. 10.1155/2017/7479267 · doi:10.1155/2017/7479267
  18. 10.1016/j.jksuci.2014.03.006 · doi:10.1016/j.jksuci.2014.03.006
  19. 2017, Journal of Parallel and Distributed Computing

Cited by

See all 265

Metadata

Authors
Raza, S., Wang, S., Ahmed, M., & Anwar, M. R.
Venue
Wireless Communications and Mobile Computing
Publisher
Wiley
Published
2019-02-24
Volume
2019
Pages
1-19
ISSN
  • 1530-8669 (ISSN-L)
  • 1530-8677
OpenAlex
W2917748490
Cited by
265
References
50
FWCI
20.24
Type
journal article
Language
en
Open access
hybrid
Funders
National Natural Science Foundation of China (61602054, 61571066)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions. https://app.cochat.ai/papers/10.1155/2019/3159762
The paper
Raza, S., Wang, S., Ahmed, M., & Anwar, M. R. (2019). A Survey on Vehicular Edge Computing: Architecture, Applications, Technical Issues, and Future Directions. Wireless Communications and Mobile Computing. https://doi.org/10.1155/2019/3159762

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.