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Employing SDN to control video streaming applications in military mobile networks
Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID-id: 0000-0002-0350-4621
Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID-id: 0000-0002-7070-1297
Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.ORCID-id: 0000-0002-7561-5582
Brazilian Army, Brasilia, DF, Brazil.ORCID-id: 0000-0002-3068-0532
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2017 (Engelska)Ingår i: 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA) / [ed] Aris Gkoulalas-Divanis, Miguel P. Correia, Dimiter R. Avresky, New York: IEEE, 2017, s. 1-4Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Video streaming is an important service provided by surveillance systems to enhance situation awareness. However, in military systems, data acquisition heavily depends on the network infrastructure. In this application domain, units are spread and the distance between the sources of data and the decision makers may be very large. In the case of video streaming, the demand for high network throughput poses some extra requirements on the network. Considering the mobility patterns of the military units and the diversity of the new generations of sensors, especially those used by Unmanned Aerial Vehicles (UAV), the configuration and the management of the network must be so dynamic and so sensitive to data flow parameters that manual configuration is not acceptable. For this reason, the capability of the network to configure itself to offer the necessary Quality of Service is a must. Using principles of Software Defined Networks (SDN), this paper presents an analysis of video streaming for military surveillance in which multiple UAVs are employed as data providers through an SDN-enabled network, with promising results. ©2017 by IEEE

Ort, förlag, år, upplaga, sidor
New York: IEEE, 2017. s. 1-4
Nyckelord [en]
autonomous aerial vehicles, data acquisition, military communication, military computing, military systems, mobile radio, software defined networking, surveillance, video streaming, SDN, military mobile networks, surveillance systems, situation awareness, network infrastructure, application domain, mobility patterns, military units, military surveillance, data providers, software defined networks, data flow parameters, unmanned aerial vehicles, UAV, quality of service, Streaming media, Land vehicles, Measurement, Topology, Vehicle dynamics, Reconnaissance
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Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:hh:diva-38319DOI: 10.1109/NCA.2017.8171390ISI: 000426971900066Scopus ID: 2-s2.0-85046549428ISBN: 978-1-5386-1465-5 (digital)ISBN: 978-1-5386-1464-8 (tryckt)OAI: oai:DiVA.org:hh-38319DiVA, id: diva2:1263223
Konferens
2017 IEEE 16th International Symposium on Network Computing and Applications (NCA 2017), 30 October - 1 November, 2017, Cambridge, MA, USA
Anmärkning

Funding Agency:

State of Rio Grande do Sul Research Foundation (FAPERGS) Grant Number: 2240-2551/14-2SIAFEM

Brazilian National Council for Scientific and Technological Development (CNPq) 

Tillgänglig från: 2018-11-14 Skapad: 2018-11-14 Senast uppdaterad: 2018-12-13Bibliografiskt granskad

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