Publication: Live multicast video streaming from dro...
Master data
Title: | Live multicast video streaming from drones: an experimental study |
Subtitle: | |
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. |
Keywords: | Multicast video streaming; Rate-adaptation; IEEE 802.11; Drones |
Publication type: | Article in journal (Authorship) |
Publication date: | 01.2020 (Print) |
Published by: |
Autonomous Robots
Autonomous Robots
(
Springer Nature;
)
to publication |
Title of the series: | Special Issue on Robot Communication Challenges: Real-World Problems, Systems, and Methods |
Volume number: | 44 |
Issue: | 1 |
First publication: | Yes |
Version: | - |
Page: | pp. 75 - 91 |
Versionen
Keine Version vorhanden |
Publication date: | |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1007/s10514-019-09851-6 |
Homepage: | - |
Open access |
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Publication date: | 01.2020 |
ISBN: | - |
ISSN: | 0929-5593 |
Homepage: | https://link.springer.com/article/10.1007%2Fs10514-019-09851-6 |
Authors
Raheeb Muzaffar (external) |
Evsen Yanmaz (external) |
Christian Raffelsberger (external) |
Christian Bettstetter (internal) |
Andrea Cavallaro (external) |
Assignment
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Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
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Information about the citation index: Master Journal List
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Peer reviewed |
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Organisation | Address | ||||
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Lakeside Labs GmbH
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AT - 9020 Klagenfurt |
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Queen Mary University of London
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GB - E1 4NS London |
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Özyegin University
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TR - 34794 Çekmeköy/Istanbul |
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Events: | No related events |
Lectures: | No related lectures |