Paper Info
Title
RMV: Real-Time Multi-View Video Streaming in Highway Vehicle Ad-Hoc Networks (VANETs).
Abstract
Broadcasting of real-time video, especially accidents relevant, plays an important role in Vehicle Ad-hoc Networks (VANETs). Multi-view video enables the perception of the targeted scene from multiple angles. By subscribing the real-time multi-view video broadcast, drivers can obtain better knowledge of the highway traffic and road conditions. However, compared with the traditional single view video transmission, the multi-view video transmission is more challenging, because of the VANETs' channel variation and a much larger network data rate requirement. The inherent problem thus becomes how to utilize the limited network bandwidth to stream the real-time multi-view video. As far as the authors understand, this problem has not yet been solved in any formal way. This paper focuses on the realtime multi-view broadcast over VANETs and formulates it into an optimization problem with the objective to maximize the average video quality received by users. By exploring the VANET channel characteristic, the correlations inside the multi-view and video popularity, an algorithm named as RMV is proposed to solve the optimization problem. Extensive simulations are conducted and simulation results show that the proposed scheme can outperform the comparison schemes in typical VANET scenarios to a great extent.
Year
Venue
Field
2016
IEEE Global Communications Conference
Broadcasting,Computer science,Computer network,Communication channel,Real-time computing,Video tracking,Bandwidth (signal processing),Wireless ad hoc network,Video quality,Optimization problem,Vehicular ad hoc network
DocType
ISSN
Citations 
Conference
2334-0983
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhi Liu194.60
Mianxiong Dong22018152.73
Bo Zhang3223.11
Yusheng Ji41459162.16
Yoshiaki Tanaka54914.72