计算机科学 ›› 2015, Vol. 42 ›› Issue (5): 211-214.doi: 10.11896/j.issn.1002-137X.2015.05.042

• 软件与数据库技术 • 上一篇    下一篇

一种基于受限网络的移动对象索引结构

易显天,徐 展,张 可,郭承军   

  1. 电子科技大学电子科学技术研究院 成都611731,电子科技大学电子科学技术研究院 成都611731,电子科技大学电子科学技术研究院 成都611731,电子科技大学电子科学技术研究院 成都611731
  • 出版日期:2018-11-14 发布日期:2018-11-14

Index Structure for Moving Objects Based on Restricted Network

YI Xian-tian, XU Zhan, ZHANG Ke and GUO Cheng-jun   

  • Online:2018-11-14 Published:2018-11-14

摘要: 为了提高受限网络中移动对象索引效率和满足近邻查询需求,基于FNR-Tree索引结构和Geohash编码算法,提出一种能够满足近邻查询的移动对象索引结构RNR(restricted network R-Tree)。通过添加哈希表、链表等辅助索引结构来提升索引结构操作效率,融合Geohash编码和相关算法来使得索引结构能高效满足近邻查询的需求。通过将指定区域按一定规则划分,可使得索引结构 具备在不规则范围查询的能力。使用旧金山市地理数据和移动对象数据对索引结构性能进行了测试,结果表明RNR具有较高索引结构操作效率,并且能够高效地提供窗口查询和近邻查询的功能。

关键词: 受限网络,索引,近邻查询,移动对象,Geohash

Abstract: Aiming at improving the efficiency of index structure and providing neighbor query function,we proposed an index structure called RNR(restricted network R-Tree) which is based on FNR index structure and Geohash coding algorithm.This index structure can meet the demand of nearest neighbor query with comparative high efficiency.We improved the efficiency of RNR index structure by adding auxiliary index structure like hash table and list.We integrated index structure,Geohash coding algorithm and related algorithm to meet the need of neighbor query.We divided the designated area according to the certain rule to make the index have the ability to do irregular range query.We tested the RNR index structure efficiency by using San Francisco geographic data and moving object movement information data.The experimental results show that RNR index structure has high indexing efficiency and can provide efficient window query and neighbor query function.

Key words: Restricted network,Index,Nearest neighbor query,Moving object,Geohash

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