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.
Original language | English (US) |
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Pages | 297-304 |
Number of pages | 8 |
State | Published - 2003 |
Event | 1st IEEE International Conference on Pervasive Computing and Communications, PerCom 2003 - Fort Worth, TX, United States Duration: Mar 23 2003 → Mar 26 2003 |
Other
Other | 1st IEEE International Conference on Pervasive Computing and Communications, PerCom 2003 |
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Country/Territory | United States |
City | Fort Worth, TX |
Period | 3/23/03 → 3/26/03 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications