›› 2009, Vol. 24 ›› Issue (6): 1098-1108.

• Distributed Computing and Systems • Previous Articles     Next Articles

A Comparison Study of Moving Object Index Structures

Utku Kalay and Oya Kalipsiz   

  1. Computer Engineering Department, Yildiz Technical University, Besiktas, Istanbul, 34349, Turkey
  • Received:2008-09-10 Revised:2009-08-17 Online:2009-11-05 Published:2009-11-05
  • About author:
    Utku Kalay received the B.S. degree in electrical engineering from Istanbul Technical University in 1997 and M.S. degree in computer science from University of Southern California, Los Angeles in 2000. He received the Ph.D. degree in computer engineering from Yildiz Technical University. He is currently working as an associate professor and lecturer. His main research interests are robust index organizations, moving object databases and information retrieval.
    Oya Kalipsiz received her M.S. degree in computer engineering from Istanbul Technical University in 1984. She received her Ph.D. degree from Istanbul University in 1989 with a study on Hospital Information Systems. She is currently working as the head of Computer Engineering Department of Yildiz Technical University. Her main research interests are software engineering, database systems, data mining, system analysis, and management information systems.

The task of selecting the most appropriate method for indexing the data according to application requires a careful comparison study of indices of interests. In particular, we consider object movements by tracing their trajectories within a predefined road network. MV3DR-tree and 3DR-tree constitute our first group indexing the objects moving in free movement scenarios. Besides, Mapping and MON-tree are the second group indexing the locations of objects moving over a network of road. Those access methods mainly organize a group of R-tree in order to index the underlying road network and the object movements. Our goal in this study is to evaluate existing proposals under fair circumstances with respect to storage consumption and spatio-temporal query execution performance. In our comparisons, we discuss the structure's sensibility to query's spatial and/or temporal extent as well as the tradeoff arising between two groups in terms of reliability and disk access performance. We believe that revealing the vulnerabilities of the selected structures, especially Mapping and MON-tree motivates us to design more robust organizations.

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