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Heterogeneous Sensor Networks: A Bio-Inspired Overlay Architecture

机译:异构传感器网络:以生物为灵感的叠加架构

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Teledyne Scientific Company, the University of California at Santa Barbara (UCSB) and the Army Research Lab are developing technologies for automated data exfiltration from heterogeneous sensor networks through the Institute for Collaborative Biotechnologies (ICB). Unmanned air vehicles (UAV) provide an effective means to autonomously collect data from unattended ground sensors (UGSs) that cannot communicate with each other. UAVs are used to reduce the system reaction time by generating autonomous data-driven collection routes. Bio-inspired techniques for search provide a novel strategy to detect, capture and fuse data across heterogeneous sensors. A fast and accurate method has been developed for routing UAVs and localizing an event by fusing data from a sparse number of UGSs; it leverages a bio-inspired technique based on chemotaxis or the motion of bacteria seeking nutrients in their environment. The system was implemented and successfully tested using a high level simulation environment using a flight simulator to emulate a UAV. A field test was also conducted in November 2009 at Camp Roberts, CA using a UAV provided by AeroMech Engineering. The field test results showed that the system can detect and locate the source of an acoustic event with an accuracy of about 3 meters average circular error.
机译:Teledyne科学公司,加利福尼亚大学圣塔芭芭拉分校(UCSB)和陆军研究实验室正在开发通过协作生物技术研究所(ICB)从异构传感器网络自动进行数据过滤的技术。无人机(UAV)提供了一种有效的方法,可以自动从无法相互通信的无人值守地面传感器(UGS)收集数据。无人机用于通过生成自主的数据驱动的收集路线来减少系统反应时间。受生物启发的搜索技术提供了一种新颖的策略,可以跨异构传感器检测,捕获和融合数据。已经开发了一种快速准确的方法,用于通过融合来自稀疏数量的UGS的数据来路由UAV和定位事件。它利用基于化学趋化性或细菌在其环境中寻求营养的运动的生物启发技术。该系统已通过使用飞行模拟器模拟无人机的高级模拟环境实施并成功测试。 2009年11月,还使用AeroMech Engineering提供的无人机在加利福尼亚州的罗伯茨营地进行了现场测试。现场测试结果表明,该系统可以检测和定位声音事件的来源,其准确度约为3米平均圆形误差。

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