On the deployment of a hybrid free-space optic/radio frequency (FSO/RF) mobile ad-hoc network

J. Derenick, Christopher Thorne, J. Spletzer
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引用次数: 50

Abstract

The hybrid free-space optics/radio frequency (FSO/RF) network paradigm promises new levels of throughput for sensor and mobile ad-hoc networks. However, several challenges must be addressed before such a network model can be realized. These include a means by which deployed robots can autonomously establish optical links over sufficiently long distances as well as the formulation of a mobile network architecture that can exploit high throughput FSO channels. In this paper, we offer solutions to these problems in the form of hierarchical link acquisition and routing protocols. The heart of our link acquisition system (LAS) is a vision-based alignment phase for locating robot link partners via high zoom camera systems. Identification is accomplished in real-time using a multi-resolution image representation and normalized intensity distribution (NID) as a similarity metric. Our routing protocol relies upon the hierarchical state routing (HSR) model adapted to the FSO/RF paradigm. Experimental results from a large set of link acquisition trials as well as a small scale FSO/RF deployment are provided to support our approach.
自由空间光/射频(FSO/RF)混合移动自组网的部署
自由空间光学/射频(FSO/RF)混合网络范式为传感器和移动自组织网络提供了新的吞吐量水平。然而,在实现这种网络模型之前,必须解决几个挑战。其中包括一种方法,通过这种方法,部署的机器人可以在足够长的距离上自主建立光链路,以及制定一种可以利用高吞吐量FSO信道的移动网络架构。在本文中,我们以分层链路获取和路由协议的形式提供了解决这些问题的方法。我们的链路采集系统(LAS)的核心是一个基于视觉的校准阶段,用于通过高变焦相机系统定位机器人链路伙伴。使用多分辨率图像表示和归一化强度分布(NID)作为相似度度量,实时完成识别。我们的路由协议依赖于适应FSO/RF范式的分层状态路由(HSR)模型。提供了大量链路采集试验以及小规模FSO/RF部署的实验结果来支持我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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