摘要：IOT needs to organize sensor resources to monitor events in real world for all time. As result, huge number of data will be concentrated in the system. Due to difference of sensors’ awareness on event, the concentrated data’s qualities are different. The data process task’s performance will be affected without discrimination of data’s quality. This paper introduced an approach, called Awareness Driven Schedule (ADS) that enables involved sensor resources to provide differentiated data service by their awareness, to address the issue. In the approach, higher a sensor resource’s awareness on the event is, more detailed data service it should provide. Requirement that specify relation of sensors’ awareness and rules of data collect job will be submitted initially. Constant and continuous data channels are created to organize sensors. In accordance of their awareness and task initial requirement, sensor resources are scheduled to collect data and aggregate to task through the channels. Sensor resource’s involvement and service depend on it’s awareness and task’s requirement. Upon ADS, a middleware is built for CEA’s(China Earthquake Administration) SPON(Seismological Precursors Observation Net) and applied for China’s earthquake research applications. In the applications, Dull data of low awareness sensors could be banned out, applications may by more efficient.
