Result Details

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.
Type
conference paper
Language
English
Authors
Alieiev Roman, UREL (FEEC)
Blumenstein Jiří, doc. Ing., Ph.D., UREL (FEEC)
Maršálek Roman, prof. Ing., Ph.D., UREL (FEEC)
Hehn Thorsten
Kwoczek Andreas
Kürner Thomas
Abstract

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.

Keywords

predictive communication, multi-hop vehicular communications, relays

URL
Published
2017
Pages
663–667
Proceedings
25th European Signal Processing Conference (EUSIPCO)
Conference
The 25th European Signal Processing Conference
ISBN
9780992862671
Publisher
EURASIP
Place
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"
}
Departments
Department of Radio Electronics (UREL)
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