TY - GEN
T1 - Integrated data modeling for querying physical objects in RFID-enabled pervasive computing
AU - Liu, Shaorong
AU - Wang, Fusheng
AU - Liu, Peiya
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/48649088599
U2 - 10.1109/MDM.2007.28
DO - 10.1109/MDM.2007.28
M3 - Conference contribution
AN - SCOPUS:48649088599
SN - 1424412404
SN - 9781424412402
T3 - Proceedings - IEEE International Conference on Mobile Data Management
SP - 140
EP - 145
BT - Proceedings - 8th International Conference on Mobile Data Management, MDM 2007
T2 - 8th International Conference on Mobile Data Management, MDM 2007
Y2 - 7 May 2007 through 11 May 2007
ER -