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Erschienen in: Autonomous Robots 1/2020

27.04.2019

Live multicast video streaming from drones: an experimental study

verfasst von: Raheeb Muzaffar, Evşen Yanmaz, Christian Raffelsberger, Christian Bettstetter, Andrea Cavallaro

Erschienen in: Autonomous Robots | Ausgabe 1/2020

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Abstract

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 \(20\%\) for multipoint-to-point-to-multipoint streaming.

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Metadaten
Titel
Live multicast video streaming from drones: an experimental study
verfasst von
Raheeb Muzaffar
Evşen Yanmaz
Christian Raffelsberger
Christian Bettstetter
Andrea Cavallaro
Publikationsdatum
27.04.2019
Verlag
Springer US
Erschienen in
Autonomous Robots / Ausgabe 1/2020
Print ISSN: 0929-5593
Elektronische ISSN: 1573-7527
DOI
https://doi.org/10.1007/s10514-019-09851-6

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