An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network

Given a set of positive-weighted points and a query rectangle r (specified by a client) of given extents, the goal of a maximizing range sum (MaxRS) query is to find the optimal location of r such that the total weights of all the points covered by r are maximized. All existing methods for processin...

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Main Authors: Tien-Khoi Phan, HaRim Jung, Ung-Mo Kim
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/541602
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author Tien-Khoi Phan
HaRim Jung
Ung-Mo Kim
author_facet Tien-Khoi Phan
HaRim Jung
Ung-Mo Kim
author_sort Tien-Khoi Phan
collection DOAJ
description Given a set of positive-weighted points and a query rectangle r (specified by a client) of given extents, the goal of a maximizing range sum (MaxRS) query is to find the optimal location of r such that the total weights of all the points covered by r are maximized. All existing methods for processing MaxRS queries assume the Euclidean distance metric. In many location-based applications, however, the motion of a client may be constrained by an underlying (spatial) road network; that is, the client cannot move freely in space. This paper addresses the problem of processing MaxRS queries in a road network. We propose the external-memory algorithm that is suited for a large road network database. In addition, in contrast to the existing methods, which retrieve only one optimal location, our proposed algorithm retrieves all the possible optimal locations. Through simulations, we evaluate the performance of the proposed algorithm.
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publishDate 2014-01-01
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spelling doaj-art-616744b6ff0f4e70b62fa2801d38072f2025-08-20T02:23:45ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/541602541602An Efficient Algorithm for Maximizing Range Sum Queries in a Road NetworkTien-Khoi Phan0HaRim Jung1Ung-Mo Kim2School of Information and Communication Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 440-746, Republic of KoreaSchool of Information and Communication Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 440-746, Republic of KoreaSchool of Information and Communication Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 440-746, Republic of KoreaGiven a set of positive-weighted points and a query rectangle r (specified by a client) of given extents, the goal of a maximizing range sum (MaxRS) query is to find the optimal location of r such that the total weights of all the points covered by r are maximized. All existing methods for processing MaxRS queries assume the Euclidean distance metric. In many location-based applications, however, the motion of a client may be constrained by an underlying (spatial) road network; that is, the client cannot move freely in space. This paper addresses the problem of processing MaxRS queries in a road network. We propose the external-memory algorithm that is suited for a large road network database. In addition, in contrast to the existing methods, which retrieve only one optimal location, our proposed algorithm retrieves all the possible optimal locations. Through simulations, we evaluate the performance of the proposed algorithm.http://dx.doi.org/10.1155/2014/541602
spellingShingle Tien-Khoi Phan
HaRim Jung
Ung-Mo Kim
An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network
The Scientific World Journal
title An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network
title_full An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network
title_fullStr An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network
title_full_unstemmed An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network
title_short An Efficient Algorithm for Maximizing Range Sum Queries in a Road Network
title_sort efficient algorithm for maximizing range sum queries in a road network
url http://dx.doi.org/10.1155/2014/541602
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