Title :
An RNN Queries Algorithm for Moving Objects Based on ASGI
Author :
Ze-Wen Cao ; Shi-Wei Zhao
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This paper proposes a new RNN (Reverse Nearest Neighbour) Queries algorithm for moving objects based on ASGI (Auto-Selection Grid Index). ASGI divides the space into grid cells of the same size, and each cell stores moving objects as a bucket. The RNN queries algorithm first determines the candidate objects according to the geometry characteristic of the grid and the bucket´s object number, then answers the RNN queries from the candidate objects rather than all the objects. If there are too many objects within the corresponding cell of the query point, ASGI will divide the cell into grid cells again in order to decrease accessing objects. Experimental results show that the RNN queries algorithm based on ASGI outperforms traditional algorithm based on the TPR-tree.
Keywords :
geometry; mobile computing; query processing; ASGI based moving objects; RNN query algorithm; RNN query answering; TPR-tree; auto-selection grid index; geometry characteristics; grid cells; reverse nearest neighbor query algorithm; Control engineering; Information science; Auto-Selection Grid Index; Reverse Nearest Neighbor Queries; moving objects;
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
DOI :
10.1109/ICISCE.2015.25