Paper Info
Title
Graph Model Based Indoor Tracking
Abstract
The tracking of the locations of moving objects in large indoor spaces is important, as it enables a range of applications related to, e.g., security and indoor navigation and guidance. This paper presents a graph model based approach to indoor tracking that offers a uniform data management infrastructure for different symbolic positioning technologies, e.g., Bluetooth and RFID. More specifically, the paper proposes a model of indoor space that comprises a base graph and mappings that represent the topology of indoor space at different levels. The resulting model can be used for one or several indoor positioning technologies. Focusing on RFID-based positioning, an RFID specific reader deployment graph model is built from the base graph model. This model is then used in several algorithms for constructing and refining trajectories from raw RFID readings. Empirical studies with implementations of the models and algorithms suggest that the paper's proposals are effective and efficient.
Year
DOI
Venue
2009
10.1109/MDM.2009.23
Mobile Data Management
Keywords
Field
DocType
indoor navigation,base graph,base graph model,graph model,indoor positioning technology,rfid specific reader deployment,indoor tracking,resulting model,large indoor space,indoor space,technology management,topology,data structures,bluetooth,radionavigation,mobile computing,navigation,trajectory,graph theory,space technology,computer science,construction industry
Graph theory,Mobile computing,Data structure,Space technology,Computer science,Implementation,Real-time computing,Radio navigation,Data management,Bluetooth,Embedded system,Distributed computing
Conference
Citations 
PageRank 
References 
78
3.21
11
Authors
3
Name
Order
Citations
PageRank
Christian S. Jensen1106511129.45
Hua Lu2138083.74
Bin Yang370634.93