Paper Info
Title
Integrated Data Modeling for Querying Physical Objects in RFID-Enabled Pervasive Computing
Abstract
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.
Year
DOI
Venue
2007
10.1109/MDM.2007.28
MDM
Keywords
Field
DocType
rfid-enabled pervasive computing,rfid data,pervasive computing,physical objects,integrated data modeling,radio frequency identification,radiofrequency identification,ubiquitous computing,data models,data model,logic,rfid tags,virtual worlds,logistics,silicon,radio frequency,supply chains
Data modeling,Computer science,Real-time computing,Radio frequency,Supply chain,Ubiquitous computing,Radio-frequency identification,Distributed computing
Conference
ISBN
Citations 
PageRank 
1-4244-1241-2
2
0.38
References 
Authors
4
3
Name
Order
Citations
PageRank
Shaorong Liu137017.59
Fusheng Wang2102679.28
Peiya Liu350235.42