A new distributed grid structure for k-NN query processing algorithm based on incremental cell expansion in LBSs

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To manage the frequent updates of moving objects' locations on road networks in an efficient way, we propose a new distributed grid scheme which utilizes node-based pre-computation technique to minimize the update cost of the moving objects' locations. Because our distributed grid scheme manages spatial network data separately from the POIs (Point of Interests) and moving objects, it can minimize the update cost of the POIs and moving objects. To process k-nearest neighbor (k-NN) query in our distributed grid scheme, we propose a k-NN query processing algorithm based on Incremental cell expansion which minimize the number of accesses to adjacent cells during POIs retrieval in a parallel way. Finally, we show from our performance analysis that our algorithm is better on retrieval performance than the k-NN algorithm of the existing work. © 2013 Springer Science+Business Media Dordrecht(Outside the USA).

Cite

CITATION STYLE

APA

Hong, S., Lee, H., & Chang, J. (2013). A new distributed grid structure for k-NN query processing algorithm based on incremental cell expansion in LBSs. In Lecture Notes in Electrical Engineering (Vol. 240 LNEE, pp. 337–343). https://doi.org/10.1007/978-94-007-6738-6_42

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free