Video streaming uploading over vehicular ad hoc networks (VANETs) can support many interesting applications. Due to the high mobility and dynamic topology of VANETs, how to support video streaming using wireless communications between vehicles and road-side access points still remains an open issue. In this paper, we propose a geographical uploading scheme, called MPVUS, which uses the moving prediction to keep the stable forwarding and reduce the high link failure probability over VANETs. The scheme also decides the AP switch opportunity by traffic flow estimation, so as to adjust the forwarding direction timely to avoid the short-sighted switch decision. Simulation results demonstrate the effectiveness of our scheme, which can achieve good performance in terms of the start-up delay, playback interruption ratio and video frame distortion.
Xiaojin ZHU
Chinese Academy of Sciences
Jingping BI
Chinese Academy of Sciences
Jianhang LIU
Chinese Academy of Sciences
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Xiaojin ZHU, Jingping BI, Jianhang LIU, "MPVUS: A Moving Prediction Based Video Streaming Uploading Scheme over Vehicular Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 1, pp. 304-312, January 2015, doi: 10.1587/transfun.E98.A.304.
Abstract: Video streaming uploading over vehicular ad hoc networks (VANETs) can support many interesting applications. Due to the high mobility and dynamic topology of VANETs, how to support video streaming using wireless communications between vehicles and road-side access points still remains an open issue. In this paper, we propose a geographical uploading scheme, called MPVUS, which uses the moving prediction to keep the stable forwarding and reduce the high link failure probability over VANETs. The scheme also decides the AP switch opportunity by traffic flow estimation, so as to adjust the forwarding direction timely to avoid the short-sighted switch decision. Simulation results demonstrate the effectiveness of our scheme, which can achieve good performance in terms of the start-up delay, playback interruption ratio and video frame distortion.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.304/_p
Copy
@ARTICLE{e98-a_1_304,
author={Xiaojin ZHU, Jingping BI, Jianhang LIU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={MPVUS: A Moving Prediction Based Video Streaming Uploading Scheme over Vehicular Networks},
year={2015},
volume={E98-A},
number={1},
pages={304-312},
abstract={Video streaming uploading over vehicular ad hoc networks (VANETs) can support many interesting applications. Due to the high mobility and dynamic topology of VANETs, how to support video streaming using wireless communications between vehicles and road-side access points still remains an open issue. In this paper, we propose a geographical uploading scheme, called MPVUS, which uses the moving prediction to keep the stable forwarding and reduce the high link failure probability over VANETs. The scheme also decides the AP switch opportunity by traffic flow estimation, so as to adjust the forwarding direction timely to avoid the short-sighted switch decision. Simulation results demonstrate the effectiveness of our scheme, which can achieve good performance in terms of the start-up delay, playback interruption ratio and video frame distortion.},
keywords={},
doi={10.1587/transfun.E98.A.304},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - MPVUS: A Moving Prediction Based Video Streaming Uploading Scheme over Vehicular Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 304
EP - 312
AU - Xiaojin ZHU
AU - Jingping BI
AU - Jianhang LIU
PY - 2015
DO - 10.1587/transfun.E98.A.304
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2015
AB - Video streaming uploading over vehicular ad hoc networks (VANETs) can support many interesting applications. Due to the high mobility and dynamic topology of VANETs, how to support video streaming using wireless communications between vehicles and road-side access points still remains an open issue. In this paper, we propose a geographical uploading scheme, called MPVUS, which uses the moving prediction to keep the stable forwarding and reduce the high link failure probability over VANETs. The scheme also decides the AP switch opportunity by traffic flow estimation, so as to adjust the forwarding direction timely to avoid the short-sighted switch decision. Simulation results demonstrate the effectiveness of our scheme, which can achieve good performance in terms of the start-up delay, playback interruption ratio and video frame distortion.
ER -