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ReSDaP: A Real-Time Data Provision System Architecture for Sensor Webs

机译:ReSDaP:用于传感器Web的实时数据提供系统架构

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More and more sensors for environment surveillance are deployed around the world given the rapid development of sensor networks. Since sensor data is produced continually for months or even years in many places, a huge amount of data is stored all over the world. This study proposes ReSDaP, an architecture to bridge sensor networks and spatio-temporal databases by continuously creating and running Provision Items (PIs). A PI is responsible for the continual linkage-processing-storage (LPS) of the data stream produced by a sensor, and acts as a pipeline for nonstop transmission of data into spatio-temporal databases at fixed time intervals. Actual data provisions from Wuhan meteorological sensors are used as a case study of ReSDaP. This implementation demonstrates that ReSDaP has good scalability and increases the availability of sensor web data.
机译:随着传感器网络的快速发展,在世界范围内部署了越来越多的用于环境监控的传感器。由于在许多地方连续数月甚至数年连续产生传感器数据,因此在世界各地存储了大量的数据。这项研究提出了ReSDaP,它是一种通过连续创建和运行供应项(PI)来桥接传感器网络和时空数据库的体系结构。 PI负责传感器产生的数据流的持续链接处理存储(LPS),并充当管道以固定时间间隔不间断地将数据传输到时空数据库。武汉气象传感器提供的实际数据被用作ReSDaP的案例研究。此实现证明ReSDaP具有良好的可伸缩性,并增加了传感器Web数据的可用性。

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