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移动对象预测聚集范围查询方法
引用本文:何茂顺,董一鸿,付世昌.移动对象预测聚集范围查询方法[J].计算机工程与应用,2011,47(9):130-133.
作者姓名:何茂顺  董一鸿  付世昌
作者单位:宁波大学 计算机科学技术研究所,浙江 宁波 315211
基金项目:浙江省自然科学基金,宁波市自然科学基金
摘    要:为了更好地实现预测范围聚集查询,提出了aTPRA-tree。TPR-tree随着时间的推移,性能不断恶化。aTPRA-tree是基于TPR-tree,它考虑了移动对象的方向角度进行构造,减小了结点面积和结点重叠面积,并且在索引结点中增加了聚集信息。实验结果表明,在更新和预测范围聚集查询性能方面,aTPRA-tree性能优于TPR-tree。

关 键 词:预测范围聚集查询  时间参数化的R-tree(TPR-tree)  基于方向角度的聚集TPR-tree(aTPRA-tree)  移动对象  
修稿时间: 

Method of predictive range aggregation for moving objects
HE Maoshun,DONG Yihong,FU Shichang.Method of predictive range aggregation for moving objects[J].Computer Engineering and Applications,2011,47(9):130-133.
Authors:HE Maoshun  DONG Yihong  FU Shichang
Affiliation:Institute of Computer Science & Technology,Ningbo University,Ningbo,Zhejiang 315211,China
Abstract:In order to realize the predictive range aggregate queries better,this paper presents the aTPRA-tree.TPR-tree’s performance continues to deteriorate as the time goes.The aTPRA-tree,which is based on the TPR-tree and added with aggregate information in the index nodes,considers the angle of the velocity and reduces the area and overlap of the nodes.The experimental results show that aTPRA-tree’s update and query performance outperforms the TPR-tree.
Keywords:predictive range aggregate queries  Time-Parameterized R-tree(TPR-tree)  the aggregation TPR-tree based on the Angle(aTPRA-tree)  moving objects
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