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Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks

Zacarias, Iulisloi, 1985- (author)
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Schwarzrock, Janaína (author)
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
Gaspary, Luciano Paschoal (author)
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Kohl, Andersonn (author)
Brazilian Army, Brasília, Brasilien
Fernandes, Ricardo Q. A. (author)
Brazilian Army, Brasília, Brasilien
Stocchero, Jorgito M. (author)
Brazilian Army, Brasília, Brasilien
Pignaton de Freitas, Edison, 1979- (author)
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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 (creator_code:org_t)
Oxford : John Wiley & Sons, 2018
2018
English.
In: Wireless Communications & Mobile Computing. - Oxford : John Wiley & Sons. - 1530-8669 .- 1530-8677. ; 2018, s. 1-12
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Situation awareness in surveillance systems benefits from high-quality video streaming service. This is even more important considering military systems, in which delays in image transmission may have a significant impact on the decision-making process. However, in order to deliver high-quality video streaming service, the required network infrastructure may be prohibitively complex, or even completely impossible to deploy, if mobile data providers are considered. Moreover, the demand for high network throughput poses extra requirements on the network. Considering this context, this paper addresses the problem of highly mobile networks composed of unmanned aerial vehicles (UAVs) as data providers of a military surveillance system. The proposed approach to tackle the problem is based on a Software Defined Networking (SDN) approach aiming at providing the best routes to deliver the data, enhancing the end-user quality of experience. An extensive experimental campaign was performed by means of simulations and the acquired results provide solid evidence of the usefulness of this proposal.© 2018 Iulisloi Zacarias et al.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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