Literature Database Entry


Simon Welzel, Falko Dressler and Florian Klingler, "Cuckoo Filters for Two-Hop Neighbor Management in Vehicular Networks," Proceedings of 14th IEEE Vehicular Networking Conference (VNC 2023), Poster Session, Istanbul, Turkey, April 2023, pp. 155–156.


Neighbor management in vehicular networks comes with the risk of unnecessarily overloading the wireless channel, particularly when two-hop neighbor information is required. A possible solution to this challenge is the use of probabilistic data structures. In our previous work, we explored the benefits of using Bloom filters for maintaining this neighbor information showing promising results. In this paper, we now evaluate the usage of a additional probabilistic data structure, the Cuckoo Filter, which is advertised as a superior alternative to Bloom filter. We assess the performance of the Cuckoo approach in a vehicular networking scenario and find that it does not meet these expectations. In fact, it may lead to worse performance in specific configurations.

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Simon Welzel
Falko Dressler
Florian Klingler

BibTeX reference

    author = {Welzel, Simon and Dressler, Falko and Klingler, Florian},
    doi = {10.1109/VNC57357.2023.10136341},
    title = {{Cuckoo Filters for Two-Hop Neighbor Management in Vehicular Networks}},
    pages = {155--156},
    publisher = {IEEE},
    issn = {2157-9865},
    address = {Istanbul, Turkey},
    booktitle = {14th IEEE Vehicular Networking Conference (VNC 2023), Poster Session},
    month = {4},
    year = {2023},

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Last modified: 2024-05-23