基于ACIPL的分布式上下文数据融合

M. A. McGrath, Y.F. Zheng
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引用次数: 0

摘要

介绍了一种智能传感器网络控制系统。该系统被称为自适应上下文信息处理语言(ACIPL),它将允许明确使用从传感器读数推断的上下文状态和算法输出,用于传感器网络中数据融合的分布式控制。描述了该语言的详细描述,包括使用该语言将传感器信息分离为原始传感器数据、特征、对象和事件。在此基础上,引入了上下文的概念,包括上下文的类型、属性和应用。ACIPL松散地遵循实验室数据融合层次的联合主任,并提供了一个强大的工具来促进智能传感器网络的使用,以实现传感器数据融合。
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Distributed Contextual Data Fusion with ACIPL
A system for controlling smart sensor networks is described. The system is called the adaptive context information processing language (ACIPL) which will allow explicit use of states of context inferred from sensor readings and algorithmic output for distributed control of data fusion in sensor networks. The detailed description of the language including its use for sensor information separation into raw sensor data, feature, objects, and events by the language is described. Furthermore the concept of context which aids the modeling of sensor data with the data fusion hierarchy is introduced, including its types, properties and applications. ACIPL loosely follows the Joint Directors of Laboratories' Data Fusion Hierarchy and provides a powerful tool to facilitate the use of smart sensor networks for the purpose of sensor data fusion.
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