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
to publication
 ( Springer Nature; )
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
  • Available online (not open access)
Publication date: 01.2020
ISBN: -
ISSN: 0929-5593
Homepage: https://link.springer.com/article/10.1007%2Fs10514-019-09851-6

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 102025 - Distributed systems
  • 202022 - Information technology
  • 202030 - Communication engineering
  • 202031 - Network engineering
  • 202035 - Robotics
  • 202038 - Telecommunications
Research Cluster
  • Self-organizing systems
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Mobile Systems Group

Cooperations

Organisation Address
Lakeside Labs GmbH
Lakeside Science & Technology Park
9020 Klagenfurt
Austria - Carinthia
Lakeside Science & Technology Park
AT - 9020  Klagenfurt
Queen Mary University of London
Mile End Road
E1 4NS London
Great Britain & N.Ireland
Mile End Road
GB - E1 4NS  London
Özyegin University
Nişantepe District, Orman Street
34794 Çekmeköy/Istanbul
Türkiye
https://www.ozyegin.edu.tr/en/
Nişantepe District, Orman Street
TR - 34794  Çekmeköy/Istanbul

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