Indexing Mobile Objects on the Plane

Authors:
Dimitris Papadopoulos;George Kollios;Dimitrios Gunopulos;Vassilis J. Tsotras
Affiliations:
-;-;-;-
Venue:
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Year:
2002

Citing 0
Cited 14

Indexing the Trajectories of Moving Objects in Networks*

Geoinformatica
Indexing mobile objects using dual transformations

The VLDB Journal — The International Journal on Very Large Data Bases
Handling frequent updates of moving objects

Proceedings of the 14th ACM international conference on Information and knowledge management
Indexing the past, present, and anticipated future positions of moving objects

ACM Transactions on Database Systems (TODS)
Efficient and compact indexing structure for processing of spatial queries in line-based databases

Data & Knowledge Engineering
A new approach on indexing mobile objects on the plane

Data & Knowledge Engineering
Efficient MaxCount and threshold operators of moving objects

Geoinformatica
An experimental performance comparison for indexing mobile objects on the plane

Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Indexing mobile objects on the plane revisited

ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
Fast indexing and updating method for moving objects on road networks

WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
Uncertainty for anonymity and 2-dimensional range query distortion

PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Unified index for mobile object data and authorizations

ESORICS'05 Proceedings of the 10th European conference on Research in Computer Security
Indexing partial history trajectory and future position of moving objects using HTPR*-Tree

DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications
An Experimental Performance Comparison for Indexing Mobile Objects on the Plane

International Journal of Organizational and Collective Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a method to index objects moving on the plane in order to efficiently answer range queries about their position in the future. This problem is motivated by real-life applications, like predicting future congestion areas in a highway system, or allocating more bandwidth for areas where high concetration of mobile phones is imminent. We consider the problem in theexternal memory model of computation and present a dynamic technique. An experimental evaluation is included that shows the applicability of our method.