Wildcard Fields-Based Partitioning for Fast and Scalable Packet Classification in Vehicle-to-Everything.

Wee J, Choi JG, Pak W

DOI: 10.3390/s19112563
Published: 2019 Jun 5
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s19112563,
  title = {Wildcard Fields-Based Partitioning for Fast and Scalable Packet Classification in Vehicle-to-Everything.},
  author = {Wee J and Choi JG and Pak W},
  year = {2019},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s19112563},
  url = {https://doi.org/10.3390/s19112563}
}

RIS

TY  - JOUR
TI  - Wildcard Fields-Based Partitioning for Fast and Scalable Packet Classification in Vehicle-to-Everything.
AU  - Wee J
AU  - Choi JG
AU  - Pak W
PY  - 2019
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s19112563
UR  - https://doi.org/10.3390/s19112563
ER  -

APA

J, W., JG, C., & W, P. (2019). Wildcard Fields-Based Partitioning for Fast and Scalable Packet Classification in Vehicle-to-Everything.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s19112563

Source records

pubmed · retrieved 2026-09-24T17:14:25.018Z