The data and events from Internet of Things are mass but their semantic information is very simple and can not be utilized in upper applications directly, so we have to analyze lots of data to find out useful business logic in these events. To aggregate these simple basic events into advanced events, a hierarchical model was designed to process RFID data stream, in which a complex events processing (CEP) mechanism was used to analyze atomic events in RFID data. We defined event handling operators in CEP mechanism to process business logics. As an example, the CEP was used in a logistic application, which implemented logistic events aggregation and complex events processing effectively. The result indicates the CEP mechanism is an effective approach to handle data and events in Internet of Things.
Resolving RFID data stream collisions using set-based approach
