Adaptive On-Board Data Processing (AODP)

自适应机载数据处理 (AODP)

• 批准号: 0434117
• 负责人: Sara Graves
• 金额: --
• 依托单位: University of Alabama in Huntsville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0434117&HistoricalAwards=false
• 关键词: Adaptive; Board; Data; Processing; AODP

As sensors become more active and produce increasing amounts of data, real-time processing and exploitation of this data on the sensor platforms themselves becomes more important. Such on-board processing supports autonomy, helps reduce bandwidth requirements, and provides a means for in-theater processing, coordination and exploitation. The research goal is to develop an Adaptive On-Board Data Processing (AODP) system for planning and executing processing operations in a secure, distributed real-time environment. Research will focus on the development of autonomous internetworking capabilities to support situational awareness of processes, as well as the development of user-friendly, robust processing and exploitation tools. Such work will lead directly to an agent based approach for on-board tasking, analysis, exploitation, dissemination and communications interoperability among sensors, an approach that is in keeping with true self awareness, self organization and autonomous behavior. The proposed research is expected result in significant advancements in the design and application of flexible but robust sensor networks. Key work will be in the representation of the processes running within this network and how human users can define and interact with them.

随着传感器变得更加活跃并产生越来越多的数据，在传感器平台上实时处理和利用这些数据变得更加重要。 这种机载处理支持自主性，有助于减少带宽需求，并为战区内处理、协调和利用提供了一种手段。 研究目标是开发一种自适应机载数据处理（AODP）系统，用于在安全的分布式实时环境中规划和执行处理操作。 研究将侧重于发展自主联网能力，以支持对进程的情况了解，以及开发用户友好、强大的处理和利用工具。 这样的工作将直接导致一个基于代理的方法，在船上的任务，分析，开发，传播和传感器之间的通信互操作性，这种方法是符合真正的自我意识，自我组织和自主行为。所提出的研究预计将在灵活但鲁棒的传感器网络的设计和应用方面取得重大进展。 关键的工作将是在这个网络中运行的流程的表示，以及人类用户如何定义和与它们交互。