Spatial Index On Air
Conference Proceeding Article
With the advent of wireless networking and personal digital devices, the population of mobile users will increase significantly. Broadcasting is particularly suitable for environments having a large number of clients. In this paper, we study the query processing of some typical location-dependent queries, such as window queries and kNN queries, in a broadcast system. To reduce clients' power consumption and provide efficient services, a transformation of the objects is applied based on Hilbert Curve. Furthermore, a linear index structure is constructed and several algorithms are devised to answer spatial queries. Experiments are conducted to evaluate the performance of the proposed transformation and related algorithms. Results show that the proposed schemes outperform existing algorithms significantly.
location-dependent queries, wireless broadcast, index structure, Hilbert Curve
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
1st IEEE International Conference on Pervasive Computing and Communications (PerCom'03)
City or Country
Dallas-Fort Worth, Texas
ZHENG, Baihua; LEE, Wang-chien; and LEE, Dik Lun.
Spatial Index On Air. (2003). 1st IEEE International Conference on Pervasive Computing and Communications (PerCom'03). 297-304. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/1060