Opportunistic ambient temperature sensing using commercial microwave links
| but.event.date | 29.04.2025 | cs |
| but.event.title | STUDENT EEICT 2025 | cs |
| dc.contributor.author | Hejna, Jan | |
| dc.contributor.author | Musil, Petr | |
| dc.contributor.author | Ištvánek, Matěj | |
| dc.date.accessioned | 2025-07-30T10:00:55Z | |
| dc.date.available | 2025-07-30T10:00:55Z | |
| dc.date.issued | 2025 | cs |
| dc.description.abstract | 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. | en |
| dc.format | text | cs |
| dc.format.extent | 146-149 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers. s. 146-149. ISBN 978-80-214-6321-9 | cs |
| dc.identifier.isbn | 978-80-214-6321-9 | |
| dc.identifier.uri | https://hdl.handle.net/11012/255265 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings I of the 31st Conference STUDENT EEICT 2025: General papers | en |
| dc.relation.uri | https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | Opportunistic sensing | en |
| dc.subject | Commercial Microwave Links (CMLs) | en |
| dc.subject | ambient temperature estimation | en |
| dc.subject | neural networks | en |
| dc.subject | Long Short-Term Memory (LSTM) | en |
| dc.subject | correlation analysis | en |
| dc.subject | temperature prediction | en |
| dc.title | Opportunistic ambient temperature sensing using commercial microwave links | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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