DocumentCode :
248791
Title :
Cluster based V2V communications for enhanced QoS of SVC video streaming over vehicular networks
Author :
Yaacoub, Elias ; Filali, Fethi
Author_Institution :
Qatar Mobility Innovations Center (QMIC), Doha, Qatar
fYear :
2014
fDate :
4-8 Aug. 2014
Firstpage :
678
Lastpage :
683
Abstract :
Cooperative vehicle-to-vehicle (V2V) communications for real-time video streaming of scalable video coded (SVC) videos is investigated, and a novel clustering method is proposed. In the proposed method, moving vehicles are grouped into cooperative clusters to enhance the distribution of the video to the cluster members. Within each cluster, vehicles communicate over IEEE 802.11p, whereas the long term evolution (LTE) system is used to send the data over long range cellular links. The simulation results show that the collaborative V2V video streaming method significantly outperforms the non collaborative case.
Keywords :
Long Term Evolution; cooperative communication; pattern clustering; quality of service; vehicular ad hoc networks; video coding; video streaming; IEEE 802.11p; LTE system; SVC videos; collaborative V2V video streaming method; cooperative V2V communications; cooperative clusters; cooperative vehicle-to-vehicle communications; long range cellular links; long term evolution system; moving vehicles; novel clustering method; real-time video streaming; scalable video coded videos; Fading; Road transportation; Shadow mapping; Static VAr compensators; Streaming media; Vehicles; Wireless communication; IEEE 802.11p; LTE; Video streaming; scalable video coding; vehicle-to-vehicle communications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International
Conference_Location :
Nicosia
Print_ISBN :
978-1-4799-7324-8
Type :
conf
DOI :
10.1109/IWCMC.2014.6906437
Filename :
6906437
Link To Document :
بازگشت