Adaptive On-Board Data Processing (AODP)

随着传感器变得更加活跃并产生越来越多的数据，传感器平台本身对这些数据的实时处理和利用变得更加重要。这种板载处理支持自主，有助于降低带宽需求，并提供了一种区域内处理、协调和利用的方法。研究目标是开发一个自适应车载数据处理(AODP)系统，用于在安全、分布式的实时环境中计划和执行处理操作。研究将侧重于发展自主联网能力，以支持对进程的情景认识，以及开发方便用户的、强大的处理和开发工具。这些工作将直接导致一种基于代理的方法，用于车载任务、分析、开发、传播和传感器之间的通信互操作性，这种方法符合真正的自我意识、自组织和自主行为。提出的研究有望在灵活而健壮的传感器网络的设计和应用方面取得重大进展。关键工作将是表示在该网络中运行的进程，以及人类用户如何定义这些进程并与其交互。

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.