改进了移动计算环境下的运动对象索引模型

Ye Liang
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引用次数: 0

摘要

在考虑有限区域内运动目标的规则轨迹时,提出了一种基于时间参数化r树(GG - TPR-tree)的移动计算环境下运动目标索引改进模型。利用GG - tpr树,我们可以对相邻且将来会向同一方向运行的运动对象进行索引,以提高效率。为此,我们提出了运动对象的索引模型,以及运动对象索引维护算法和运动对象索引更新算法。实验结果表明,GG TPR-tree索引移动索引在管理有限区域内的大容量移动目标方面优于其他索引模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved moving objects indexing model in mobile computing environment
When we take cognizance of the regular track of moving objects within a limited area, we put forward an improved moving objects indexing model in mobile computing environment based on Time-Parameterized R-tree (GG TPR-tree). With the GG TPR-tree, we can index moving objects which are neighbors and will run to the same direction in the future to improve the efficiency. So, we put forward the indexing model for the moving objects, and moving objects indexing maintenance algorithm and moving objects indexing update algorithm. Experimental results show that the performance of GG TPR-tree's indexing moving inexing is better than the other indexing model on managing a great capacity of moving objects within a limited area.
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