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

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.

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