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Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID iD: 0000-0002-0350-4621
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID iD: 0000-0002-7070-1297
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID iD: 0000-0002-7561-5582
Brazilian Army, Brasília, Brasilien.ORCID iD: 0000-0002-3068-0532
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2018 (English)In: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2018, p. 1-12, article id 2354603Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Oxford: John Wiley & Sons, 2018. Vol. 2018, p. 1-12, article id 2354603
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-38320DOI: 10.1155/2018/2354603ISI: 000448537000001OAI: oai:DiVA.org:hh-38320DiVA, id: diva2:1263228
Note

Funding Agency:

State of Rio Grande do Sul Research Foundation (FAPERGS)

Brazilian National Council for Scientific and Technological Development (CNPq)  

Brazilian Army

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-15Bibliographically approved

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Zacarias, IulisloiPignaton de Freitas, Edison

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3839404142434441 of 54
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