Detail publikačního výsledku

Opportunistic ambient temperature sensing using commercial microwave links

HEJNA, J.; MUSIL, P.; IŠTVÁNEK, M.

Originální název

Opportunistic ambient temperature sensing using commercial microwave links

Anglický název

Opportunistic ambient temperature sensing using commercial microwave links

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper discusses the utilization of Commercial Microwave Links (CMLs) for opportunistic air temperature measurement. This opportunistic sensing method uses the existing dense infrastructure of microwave telecommunication devices without the additional cost of extending the meteorological network. This method provides extensive spatial coverage, especially in areas with low meteorological density. The research presented here investigates the factors influencing temperature of the devices, analyzes their correlation with reference meteorological station data, and evaluates the capability of a neural network model to accurately predict ambient temperature using this opportunistic sensing method.

Anglický abstrakt

This paper discusses the utilization of Commercial Microwave Links (CMLs) for opportunistic air temperature measurement. This opportunistic sensing method uses the existing dense infrastructure of microwave telecommunication devices without the additional cost of extending the meteorological network. This method provides extensive spatial coverage, especially in areas with low meteorological density. The research presented here investigates the factors influencing temperature of the devices, analyzes their correlation with reference meteorological station data, and evaluates the capability of a neural network model to accurately predict ambient temperature using this opportunistic sensing method.

Klíčová slova

Opportunistic sensing, Commercial Microwave Links (CMLs); ambient temperature estimation; neural networks; Long Short-Term Memory (LSTM); correlation analysis; temperature prediction

Klíčová slova v angličtině

Opportunistic sensing, Commercial Microwave Links (CMLs); ambient temperature estimation; neural networks; Long Short-Term Memory (LSTM); correlation analysis; temperature prediction

Autoři

HEJNA, J.; MUSIL, P.; IŠTVÁNEK, M.

Rok RIV

2026

Vydáno

29.04.2025

ISBN

978-80-214-6321-9

Kniha

Proceedings I of the 31st Conference STUDENT EEICT 2025

Strany od

146

Strany do

149

Strany počet

4

URL

BibTex

@inproceedings{BUT201533,
  author="Jan {Hejna} and Petr {Musil} and Matěj {Ištvánek}",
  title="Opportunistic ambient temperature sensing using commercial microwave links",
  booktitle="Proceedings I of the 31st Conference STUDENT EEICT 2025",
  year="2025",
  pages="146--149",
  isbn="978-80-214-6321-9",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf"
}