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无线认知传感器网络是一项新技术,它试图探索基于认知无线电网络的军民两用传感/通信系统的愿景。无线认知传感器网络的动机是推动传感系统和通信系统融合成统一的认知组网系统。分析了无线认知传感器网络潜在应用领域,包括采用机器学习的入侵检测,联合频谱感知和定位,分布式方位合成孔径雷达,无线层析成像,移动群体传感,遥感、地理信息系统、全球定位系统等概念的集成,信息物理系统,计算及安全和隐私等方面。
The Wireless Cognitive Sensor Network is a new technology that seeks to explore the vision of a dual-use military / civilian sensing / communication system based on cognitive radio networks. The motivation of wireless cognitive sensor network is to promote the integration of sensing system and communication system into a unified cognitive networking system. The potential applications of wireless cognitive sensor networks are analyzed, including machine learning intrusion detection, joint spectrum sensing and localization, distributed azimuth synthetic aperture radar, wireless tomography, mobile group sensing, remote sensing, geographic information system, global positioning Systems and other concepts of integration, information and physical systems, computing and security and privacy and so on.