Title

Spatial Index On Air

Publication Type

Conference Proceeding Article

Publication Date

3-2003

Abstract

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.

Keywords

location-dependent queries, wireless broadcast, index structure, Hilbert Curve

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

1st IEEE International Conference on Pervasive Computing and Communications (PerCom'03)

First Page

297

Last Page

304

Identifier

PERCOM.2003.1192753

City or Country

Dallas-Fort Worth, Texas

Additional URL

http://doi.ieeecomputersociety.org/10.1109/PERCOM.2003.1192753