When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation.
- DOI
- 10.1038/s41598-026-37246-y
- Published
- 2026 Feb 10
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-37246-y,
title = {When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation.},
author = {Keleşoğlu N and Sobczak Ł and Domańska J},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-37246-y},
url = {https://doi.org/10.1038/s41598-026-37246-y}
}RIS
TY - JOUR TI - When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation. AU - Keleşoğlu N AU - Sobczak Ł AU - Domańska J PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-37246-y UR - https://doi.org/10.1038/s41598-026-37246-y ER -
APA
N, K., Ł, S., & J, D. (2026). When LLMs speak ZigBee: exploring low-latency and reasoning models for network traffic generation.. Scientific reports. https://doi.org/10.1038/s41598-026-37246-y
Source records
- pubmed · retrieved 2026-09-25T18:57:08.510Z