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Wireless Communications and Mobile Computing
Volume 2018, Article ID 2354603, 12 pages
https://doi.org/10.1155/2018/2354603
Research Article

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

1Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, RS 91509–900, Brazil
2Brazilian Army, Brasília, DF 70630–901, Brazil

Correspondence should be addressed to Iulisloi Zacarias; rb.sgrfu.fni@sairacazi

Received 28 June 2018; Accepted 10 September 2018; Published 2 October 2018

Academic Editor: Pierre-Martin Tardif

Copyright © 2018 Iulisloi Zacarias et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.