Detail výsledku

Sensor-Based Predictive Communication for Highly Dynamic Multi-Hop Vehicular Networks

ALIEIEV, R.; BLUMENSTEIN, J.; MARŠÁLEK, R.; HEHN, T.; KWOCZEK, A.; KÜRNER, T. Sensor-Based Predictive Communication for Highly Dynamic Multi-Hop Vehicular Networks. In 25th European Signal Processing Conference (EUSIPCO). Kos, Greece: EURASIP, 2017. p. 663-667. ISBN: 9780992862671.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Alieiev Roman, UREL (FEKT)
Blumenstein Jiří, doc. Ing., Ph.D., UREL (FEKT)
Maršálek Roman, prof. Ing., Ph.D., UREL (FEKT)
Hehn Thorsten
Kwoczek Andreas
Kürner Thomas
Abstrakt

We introduce a sensor-aided predictive algorithm
for multi-hop link quality estimation. The proposed concept uses
vehicle sensor data to improve a link adaptation and end-to-end
path selection for a vehicular multi-hop data transmission. The
obtained results show that the proposed concept allows better
multi-hop link quality estimation and significantly improves
end-to-end transmission characteristics in dynamic vehicular
environments.

Klíčová slova

predictive communication, multi-hop vehicular communications, relays

URL
Rok
2017
Strany
663–667
Sborník
25th European Signal Processing Conference (EUSIPCO)
Konference
The 25th European Signal Processing Conference
ISBN
9780992862671
Vydavatel
EURASIP
Místo
Kos, Greece
DOI
10.23919/EUSIPCO.2017.8081284
UT WoS
000426986000128
EID Scopus
2-s2.0-85041458567
BibTeX 
@inproceedings{BUT139573,
  author="Roman {Alieiev} and Jiří {Blumenstein} and Roman {Maršálek} and Thorsten {Hehn} and Andreas {Kwoczek} and Thomas {Kürner}",
  title="Sensor-Based Predictive Communication for Highly Dynamic Multi-Hop Vehicular Networks",
  booktitle="25th European Signal Processing Conference (EUSIPCO)",
  year="2017",
  pages="663--667",
  publisher="EURASIP",
  address="Kos, Greece",
  doi="10.23919/EUSIPCO.2017.8081284",
  isbn="9780992862671",
  url="http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347649.pdf"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru