一种基于ASGI的运动物体RNN查询算法

Zewen Cao, Shi-Wei Zhao
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引用次数: 0

摘要

提出了一种基于自动选择网格索引(ASGI)的运动对象逆近邻查询算法。ASGI将空间划分为大小相同的网格单元,每个单元将移动对象存储为一个bucket。RNN查询算法首先根据网格的几何特征和桶的对象编号确定候选对象,然后从候选对象而不是所有对象中回答RNN查询。如果查询点对应的cell中对象过多,ASGI会将cell再次划分为网格cell,以减少对对象的访问。实验结果表明,基于ASGI的RNN查询算法优于基于tpr树的传统算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An RNN Queries Algorithm for Moving Objects Based on ASGI
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.
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