Temporal management of RFID data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
A Quality Evaluation Technique of RFID Middleware in Ubiquitous Computing
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02
Generating semantic-based trajectories for indoor moving objects
WAIM'11 Proceedings of the 2011 international conference on Web-Age Information Management
Generation of RFID test datasets using RSN tool
Personal and Ubiquitous Computing
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Since raw RFID streaming data is continuous, voluminous, incomplete, temporal and spatial, RFID applications cannot directly make use of it. As a key component of RFID systems, an RFID middleware needs to clean, filter and transform the raw RFID streaming data. In order to know whether these functions work well or not, we need to test the middleware using raw RFID streaming data generated from RFID environments. A general RFID environment contains readers which are deployed at different locations and tagged objects which are transited between locations. However, it is a complex and costly process to construct such an environment to collect RFID streaming data. In this paper, we present a graph model to simulate RFID environments. In the graph model, nodes correspond to RFID readers and edges determine tags' movements between nodes, virtual tags are automatically inputted and transited in the graph. We define several parameters for configuring the graph and generating raw RFID data. Raw RFID streaming data is automatically generated from the graph model when tags arrive in the nodes. Based on the graph model, we implement a simulation tool to generate raw RFID streaming data. The experimental results show that the generated RFID data streams can be used for testing the functions which are provided by RFID middleware.