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

机译:利用软件定义网络增强基于视频流的移动军事监视

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摘要

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.
机译:监视系统中的态势感知得益于高质量的视频流服务。考虑到军事系统,这一点尤为重要,因为在军事系统中,图像传输的延迟可能会对决策过程产生重大影响。但是,为了提供高质量的视频流服务,如果考虑移动数据提供商,则所需的网络基础结构可能会非常复杂,甚至根本无法部署。而且,对高网络吞吐量的需求对网络提出了额外的要求。考虑到这种情况,本文解决了由无人飞行器(UAV)构成的高度移动网络的问题,这些网络是军事监视系统的数据提供者。解决该问题的建议方法基于软件定义网络(SDN)方法,该方法旨在提供最佳途径来传递数据,从而提高最终用户的体验质量。通过模拟进行了广泛的实验活动,获得的结果为该建议的有效性提供了有力的证据。

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