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  • 1.
    Zacarias, Iulisloi
    et al.
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Gaspary, Luciano Paschoal
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Kohl, Andersonn
    Brazilian Army, Brasília, Brasilien.
    Fernandes, Ricardo Q. A.
    Brazilian Army, Brasília, Brasilien.
    Stocchero, Jorgito M.
    Brazilian Army, Brasília, Brasilien.
    Pignaton de Freitas, Edison
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Combining Software-Defined and Delay-Tolerant Approaches in Last-Mile Tactical Edge Networking2017In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 55, no 10, p. 22-29, article id 8067679Article in journal (Refereed)
    Abstract [en]

    Network-centric warfare is a no-way-back trend in modern military operations. The application of this concept ranges from upper-level decision making echelons to troop guidance on the battlefield, and many studies have been carried out in this area. However, most of these are concerned with either the higher-level strategic networks, that is, the networks linking the higher echelons with abundant resources, satellite communications, or even a whole network infrastructure, or high-end TEN, representing resource-rich troops in the field, with military aircraft, battleships, or ground vehicles equipped with powerful wireless communication devices and (almost) unrestricted energy resources for communication. However, these studies fail to take into account the "last-mile TEN," which comprises resource constrained communication devices carried by troopers, equipping sensor nodes deployed in the field or small unmanned aerial vehicles. In an attempt to fill this gap in the studies on battlefield networking, this article seeks to combine software-defined and delay-tolerant approaches to support the diverse range of strict requirements for applications in the last-mile TEN. © 2017 IEEE.

  • 2.
    Zacarias, Iulisloi
    et al.
    Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
    Schwarzrock, Janaína
    Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
    Gaspary, Luciano Paschoal
    Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
    Kohl, Anderson
    Brazilian Army, Brasilia, DF, Brazil.
    Fernandes, Ricardo Q. A.
    Brazilian Army, Brasilia, DF, Brazil.
    Stocchero, Jorgito M.
    Brazilian Army, Brasilia, DF, Brazil.
    Pignaton de Freitas, Edison
    Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil.
    Employing SDN to control video streaming applications in military mobile networks2017In: 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, p. 1-4Conference paper (Refereed)
    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

  • 3.
    Zacarias, Iulisloi
    et al.
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Schwarzrock, Janaína
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Gaspary, Luciano Paschoal
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Kohl, Andersonn
    Brazilian Army, Brasília, Brasilien.
    Fernandes, Ricardo Q. A.
    Brazilian Army, Brasília, Brasilien.
    Stocchero, Jorgito M.
    Brazilian Army, Brasília, Brasilien.
    Pignaton de Freitas, Edison
    Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
    Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks2018In: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2018, p. 1-12, article id 2354603Article in journal (Refereed)
    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.

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