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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124692" target="_blank" >RIV/00216305:26220/17:PU124692 - isvavai.cz</a>
Result on the web
<a href="http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347649.pdf" target="_blank" >http://www.eurasip.org/Proceedings/Eusipco/Eusipco2017/papers/1570347649.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/EUSIPCO.2017.8081284" target="_blank" >10.23919/EUSIPCO.2017.8081284</a>

Result language
angličtina
Original language name
Sensor-Based Predictive Communication for Highly Dynamic Multi-Hop Vehicular Networks
Original language description
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.
Czech name
—
Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
25th European Signal Processing Conference (EUSIPCO)
ISBN
9780992862671
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
663-667
Publisher name
EURASIP
Place of publication
Kos, Greece
Event location
Kos island, Greece
Event date
Aug 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426986000128

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