计算机应用 ›› 2010, Vol. 30 ›› Issue (1): 22-24.

• 数据库技术 • 上一篇    下一篇

一种基于BX树的移动对象混合索引方法

张辉1,刘永山2,高云2   

  1. 1. 燕山大学
    2.
  • 收稿日期:2009-07-23 修回日期:2009-09-03 发布日期:2010-01-01 出版日期:2010-01-01
  • 通讯作者: 张辉
  • 基金资助:
    河北省自然科学基金

Hybrid indexing of moving objects based on BX-tree

  • Received:2009-07-23 Revised:2009-09-03 Online:2010-01-01 Published:2010-01-01
  • Contact: ZHANG Hui
  • Supported by:
    Hebei natural science foundation

摘要: 为实现移动对象当前及未来位置索引,提出了一种自适应SABX树(Self-Adapt BX-tree),考虑到移动对象在现实世界中分布密度不同的特点,利用时间划分和空间填充曲线技术计算移动对象位置信息,并引进了一个以秩的范围为标识的Hash辅助索引表,文中给出了SABX树的插入、删除、更新方法以及范围查询算法。实验表明,该索引结构的动态更新性能和查询效率优于BX树和传统的TPR树。

关键词: 移动对象索引, BX树, Hilbert曲线,

Abstract: A SelfAdaptive BX-tree (SABX) was presented for indexing the current and future position of moving objects. Taking account of the different density of moving objects in reality, SABX-tree utilized the technology of temporal partitioning and spacefilling curves to calculate the objects’ position, then a supplemented Hash index was introduced to store and index the forest of BX-trees. Besides, the insertion,deletion, update methods and range query algorithm were developed for SABX-tree. Experimental results show that SABX-tree’s dynamic update and query performances outperform those of BX-tree and traditional TPRtree.

Key words: moving objects Index, BX-tree, Hilbert curve, order