期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2017
卷号：9
期号：6
页码：25
DOI：10.5121/ijdms.2017.9602
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Indexes are needed in order to index a number of moving object’s positions to provide answers to differenttypes of queries as fast as possible. The most popular types of querying techniques in moving objectdatabases are K-Nearest Neighbor and Rang queries. In KNN, a set of k points of interest that can bereached in a minimum response time are retrieved. For Range Query, all objects whose positions fallwithin a predefined rectangular or circular range are retrieved. Creating an efficient index for objects’locations is looked upon as the most critical problem in connection with spatial-temporal datamanagement. Indexes are different based on their structures, query processing, and update performance. Inthis context, this paper aims to hybridize both tree and grid based structures to enhance update, search,and insert in the index. To achieve this goal, the current paper will discuss the design of the proposedindex.
