Sciweavers

Share
ICDE
2005
IEEE

Monitoring K-Nearest Neighbor Queries Over Moving Objects

8 years 11 months ago
Monitoring K-Nearest Neighbor Queries Over Moving Objects
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN) queries over moving objects within a geographic area. Existing approaches to this problem have focused on predictive queries, and relied on the assumption that the trajectories of the objects are fully predictable at query processing time. We relax this assumption, and propose two efficient and scalable algorithms using grid indices. One is based on indexing objects, and the other on queries. For each approach, a cost model is developed, and a detailed analysis along with the respective applicability are presented. The Object-Indexing approach is further extended to multi-levels to handle skewed data. We show by experiments that our grid-based algorithms significantly outperform R-tree-based solutions. Extensive experiments are also carried out to study the properties and evaluate the performance of the proposed approaches under a variety of settings.
Xiaohui Yu, Ken Q. Pu, Nick Koudas
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDE
Authors Xiaohui Yu, Ken Q. Pu, Nick Koudas
Comments (0)
books