The promise of cognitive radio for communications and remote sensing for critical infrastructure, disaster, safety, and risk management

C. Bostian
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引用次数: 4

Abstract

Public safety and disaster communications are hampered by problems of interoperability and dependence on critical infrastructure, particularly base stations and repeaters requiring fiber or wire backhaul and reliable primary power. Under normal conditions these are masked by workarounds (mutual aid agreements between nearby agencies, multiple radios in police cars, batteries and gasoline powered generators at base stations, etc.), but they become very obvious when disaster strikes, as in the case of New Orleans during Hurricane Katrina. Cognitive radios (transceivers that are aware of their RF and physical environments, able to take intelligent action based on that awareness to perform their mission and capable of learning from experience) offer attractive solutions to the interoperability and infrastructure problems. Integrating cognitive radios with small autonomous aerial vehicles (which like the radios survey their environments and take intelligent action) enhances the value of both, allowing the vehicles to consider communications requirements like propagation conditions and interference when they position themselves while providing real-time three-dimensional data from their sensors to track smoke, toxic plumes, structural damage, etc. This presentation reviews practical cognitive radio technology, particularly as applied to public safety and disaster management, and describes both some recent prototypes and ongoing research toward networks of autonomous vehicles that combine environmental sensing, intelligent response, and learning in a single “brain” that controls many aspects of motion control and radio operation.
认知无线电对关键基础设施、灾害、安全和风险管理的通信和遥感的承诺
公共安全和灾害通信受到互操作性问题和对关键基础设施的依赖的阻碍,特别是需要光纤或有线回程和可靠主电源的基站和中继器。在正常情况下,这些被变通办法(附近机构之间的互助协议、警车上的多个无线电、基站的电池和汽油发电机等)掩盖了,但当灾难来袭时,它们变得非常明显,就像卡特里娜飓风期间新奥尔良的情况一样。认知无线电(能够意识到其射频和物理环境,能够根据这种意识采取智能行动来执行任务并能够从经验中学习的收发器)为互操作性和基础设施问题提供了有吸引力的解决方案。将认知无线电与小型自主飞行器(像无线电一样调查其环境并采取智能行动)相结合,可以提高两者的价值,允许车辆在定位时考虑传播条件和干扰等通信需求,同时提供来自传感器的实时三维数据,以跟踪烟雾、有毒羽流、结构损坏等。本报告回顾了实用的认知无线电技术,特别是在公共安全和灾害管理方面的应用,并描述了一些最近的原型和正在进行的自动驾驶汽车网络研究,这些网络将环境感知、智能响应和学习结合在一个“大脑”中,控制运动控制和无线电操作的许多方面。
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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