Software Defined Networks (SDNs) of RF Internet of Things (RIOTs) on Unmanned Aerial Systems (UASs)

W. Watson, Steve Huntsman, J. Dolan
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引用次数: 3

Abstract

The future of sensor systems is moving quickly to the realm of distributed multi-static RF Internet of Things (RIOTs). In this case, any single sensor is limited in its ability to generate useful information but the community of sensors, networked together, create the necessary information. Specifically, the ability to geolocate and track small Unmanned Aerial Systems (UASs) with a set of distributed multi-static mobile RIOTs, e.g. RIOTs on a swarm of UASs, will become more the norm than an anomaly. Optimally networked swarms of small, inexpensive, mobile, unmanned platforms outfitted with RIOTS into an effective sensor suite is a difficult task. In this paper, rather than treat each RIOT as an individual sensor managed individually by the local platform, we demonstrate techniques for creating Software Defined Networks (SDNs) of RIOTS organized at the RF pulse level providing the ability to perform novel methods of detecting, geolocating and tracking both active emitters and passive reflectors of RF signals in highly dynamic environments.
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无人机系统(UASs)射频物联网(暴乱)的软件定义网络(sdn)
传感器系统的未来正迅速向分布式多静态射频物联网(暴动)领域发展。在这种情况下,任何单个传感器产生有用信息的能力都是有限的,但是传感器社区,联网在一起,创造必要的信息。具体来说,使用一组分布式多静态移动暴乱(例如,一群无人机上的暴乱)对小型无人机系统(UASs)进行地理定位和跟踪的能力将成为常态,而不是异常。将一群小型的、廉价的、移动的、无人驾驶的平台最佳地联网,并将其装备成一个有效的传感器套件是一项艰巨的任务。在本文中,我们不是将每个RIOT视为由本地平台单独管理的单个传感器,而是展示了创建在RF脉冲水平组织的骚乱的软件定义网络(sdn)的技术,提供了在高度动态环境中执行检测,定位和跟踪RF信号的主动发射器和被动反射器的新方法的能力。
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