arrow
Return

Location-dependent spatial query containment

delete2011-10-01
delete3
delete
OA
AI
K
Ken C. K. Lee *
B
Brandon Unger
B
Baihua Zheng
W
Wang-Chien Lee
DOI:10.1016/j.datak.2011.06.001delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Nowadays, location-related information is highly accessible to mobile users via issuing Location-Dependent Spatial Queries (LDSQs) with respect to their locations wirelessly to Location-Based Service (LBS) servers. Due to the limited mobile device battery energy, scarce wireless bandwidth, and heavy LBS server workload, the number of LDSQs submitted over wireless channels to LBS servers for evaluation should be minimized as appropriate. In this paper, we exploit query containment techniques for LDSQs (called LDSQ containment) to enable mobile clients to determine whether the result of a new LDSQ Q' is completely covered by that of another LDSQ Q previously answered by a server (denoted by Q' subset of Q) and to answer Q' locally if Q' subset of Q. Thus, many LDSQs can be reduced from server evaluation. To support LDSQ containment, we propose a notion of containment scope, which represents a spatial area corresponding to an LDSQ result wherein all semantically matched LDSQs are answerable with the result. Through a comprehensive simulation, our proposed approach significantly outperforms existing techniques. (C) 2011 Elsevier B.V. All rights reserved.
Keywords:
Location-Dependent Spatial Query
Query containment
Containment scope
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

D
Data and Knowledge Engineering
IF:
2.6
Papers:
116
Citations:
1.7K

Organization

U
university of massachusetts system
Scholars:
3.8W
Papers: 3.5W
Citations: 42
U
University Massachusetts Dartmouth
Scholars:
970
Papers: 915
Citations: 7
S
Singapore Management University
Scholars:
1.5K
Papers: 2.5K
Citations: 3.5K
M
Microsoft
Scholars:
3.0K
Papers: 2.7K
Citations: 7
researcher View more organizations