Live multicast video streaming from drones: an experimental study

被引:20
作者
Muzaffar, Raheeb [1 ]
Yanmaz, Evsen [1 ,2 ]
Raffelsberger, Christian [1 ]
Bettstetter, Christian [1 ,3 ]
Cavallaro, Andrea [4 ]
机构
[1] Lakeside Labs GmbH, Klagenfurt, Austria
[2] Ozyegin Univ, Istanbul, Turkey
[3] Alpen Adria Univ Klagenfurt, Inst Networked & Embedded Syst, Klagenfurt, Austria
[4] Queen Mary Univ London, Ctr Intelligent Sensing, London, England
基金
英国工程与自然科学研究理事会;
关键词
Multicast video streaming; Rate-adaptation; IEEE; 802.11; Drones; NETWORKS; QOE;
D O I
10.1007/s10514-019-09851-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present and evaluate a multicast framework for point-to-multipoint and multipoint-to-point-to-multipoint video streaming that is applicable if both source and receiver nodes are mobile. Receiver nodes can join a multicast group by selecting a particular video stream and are dynamically elected as designated nodes based on their signal quality to provide feedback about packet reception. We evaluate the proposed application-layer rate-adaptive multicast video streaming over an aerial ad-hoc network that uses IEEE 802.11, a desirable protocol that, however, does not support a reliable multicast mechanism due to its inability to provide feedback from the receivers. Our rate-adaptive approach outperforms legacy multicast in terms of goodput, delay, and packet loss. Moreover, we obtain a gain in video quality (PSNR) of 30%\for point-to-multipoint and of for multipoint-to-point-to-multipoint streaming.
引用
收藏
页码:75 / 91
页数:17
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