Integrated Data Modeling for Querying Physical Objects in RFID-Enabled Pervasive Computing

RFID can be used for identifying, locating, tracking and monitoring physical objects without line of sight, and thus can be used in a wide range of pervasive computing applications. To achieve these goals, RFID data have to be collected, transformed and expressively modeled as their counterparts in the virtual world. To this end, in this paper, we propose a general framework for modeling RFID data. We first explore the fundamental characteristics of RFID applications and classify applications into a set of basic scenarios based on these characteristics. We then develop constructs for modeling each basic scenario, which can be integrated to model complex RFID applications in real world as demonstrated in our case study.