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Integrated wireless sensor network (WSN) and massively parallel processing database management system (MPP DBMS)

机译:集成无线传感器网络(WSN)和大规模并行处理数据库管理系统(MPP DBMS)

摘要

An architecture, methods and apparatus are provided for managing sensor data. Sensor networks comprised of a plurality of sensors are managed by obtaining measurement data and context data from the plurality of sensors; storing the obtained measurement data and context data using a Massively Parallel Processing Database Management System (MPP DBMS); and managing the sensor network from outside of the sensor network using the MPP DBMS. Context-aware adaptation of sensors is based on context regarding a state of the sensor network and context regarding a state of one or more applications. The sensor nodes are optionally clustered based on semantic similarities among sensor readings from different sensor nodes and a distance among the sensor nodes. A subset of the sensor nodes is optionally selected to be active based on a residual energy of the sensor nodes and a relevance of the sensor nodes to an application. Data prediction models are generated and employed for data sensing and analytics.
机译:提供一种用于管理传感器数据的架构,方法和装置。通过从多个传感器获得测量数据和上下文数据来管理由多个传感器组成的传感器网络。使用大规模并行处理数据库管理系统(MPP DBMS)存储获得的测量数据和上下文数据;并使用MPP DBMS从传感器网络外部管理传感器网络。传感器的情境感知适应基于关于传感器网络状态的情境和关于一个或多个应用程序状态的情境。可选地,基于来自不同传感器节点的传感器读数之间的语义相似度以及传感器节点之间的距离,对传感器节点进行聚类。基于传感器节点的剩余能量和传感器节点与应用程序的相关性,可选地选择传感器节点的子集为活动的。生成数据预测模型并将其用于数据感测和分析。

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