NDLI: Indexing and querying technique for dynamic location updates using R k-d trajectory trie tree

Content Provider	IEEE Xplore Digital Library
Author	Priyadarshini, J. AnandhaKumar, P. Aparna, M. Geetha, J.K. Shobana, N.
Copyright Year	2011
Description	Author affiliation: Department of Information Technology, MIT Campus, Anna University, Chennai - 44 (Priyadarshini, J.; AnandhaKumar, P.; Aparna, M.; Geetha, J.K.; Shobana, N.)
Abstract	The area of spatiotemporal applications which engage moving objects is a treasure trove of new types of queries. Essentially querying the trajectories of moving objects (MOVObjs) has long been an attractive and demanding area which buds as various fascinating applications in Spatio-Temporal Databases (STDb). Robust index structure is required to achieve better search performance of their trajectories. In this paper, a novel data structure R k-d trajectory trie tree to index the trajectories of MOVObjs and three new algorithms to support trajectory pattern matching queries have been proposed. The performance analysis shows that the time complexity of the proposed R k-d trajectory trie tree is reduced to O (TL), in which TL represents the average trajectory length, whereas other data structures like TMN, MON and FNR tree have time complexities of O $(n^{2}),$ O $(n^{2}$ $log^{2}$ n) respectively. Through a novel index maintenance technique which is associated with dynamic location updates, tree can support three new advanced types of queries such as full, partly and recurrent trajectory pattern matching queries.
Starting Page	1143
Ending Page	1148
File Size	406227
Page Count	6
File Format	PDF
ISBN	9781457705885
e-ISBN	9781457705908
DOI	10.1109/ICRTIT.2011.5972432
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	R k-d Moving objects (MOVObjs) Data structures Mobile communication Spatial databases Trajectory Spatio-Temporal Databases (STDb) Location updates Trie Pattern matching Indexing
Content Type	Text
Resource Type	Article

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