Voronoi-based multi-level range search in mobile navigation.
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| Title: | Voronoi-based multi-level range search in mobile navigation. |
|---|---|
| Authors: | Kefeng Xuan1 Kefeng.Xuan@infotech.monash.edu.au, Geng Zhao1 Geng.Zhao@infotech.monash.edu.au, Taniar, David1 David.Taniar@infotech.monash.edu.au, Safar, Maytham2 Maytham.Safar@ku.edu.kw, Srinivasan, Bala1 Bala.Srinivasan@infotech.monash.edu.au |
| Source: | Multimedia Tools & Applications. Jun2011, Vol. 53 Issue 2, p459-479. 21p. |
| Subjects: | Information retrieval software, Information storage & retrieval systems, Geographic information systems, Voronoi polygons, Mobile apps, Global Positioning System, Wireless communications, Data structures, Algorithms, Computer network resources |
| Abstract: | Due to the universality and importance of range search queries processing in mobile and spatial databases as well as in geographic information system (GIS), numerous approaches on range search algorithms have been proposed in recent years. But ordinary range search queries focus only on a specific type of point objects. For queries which require to retrieve objects of interest locating in a particular region, ordinary range search could not get the expected results. In addition, most existing range search methods need to perform a searching on each road segments within the pre-defined range, which decreases the performance of range search. In this paper, we design a weighted network Voronoi diagram and propose a high-performance multilevel range search query processing that retrieves a set of objects locating in some specified region within the searching range. The experimental results show that our proposed algorithm runs very efficiently and outperforms its main competitor. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 60077618 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Voronoi-based multi-level range search in mobile navigation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kefeng+Xuan%22">Kefeng Xuan</searchLink><relatesTo>1</relatesTo><i> Kefeng.Xuan@infotech.monash.edu.au</i><br /><searchLink fieldCode="AR" term="%22Geng+Zhao%22">Geng Zhao</searchLink><relatesTo>1</relatesTo><i> Geng.Zhao@infotech.monash.edu.au</i><br /><searchLink fieldCode="AR" term="%22Taniar%2C+David%22">Taniar, David</searchLink><relatesTo>1</relatesTo><i> David.Taniar@infotech.monash.edu.au</i><br /><searchLink fieldCode="AR" term="%22Safar%2C+Maytham%22">Safar, Maytham</searchLink><relatesTo>2</relatesTo><i> Maytham.Safar@ku.edu.kw</i><br /><searchLink fieldCode="AR" term="%22Srinivasan%2C+Bala%22">Srinivasan, Bala</searchLink><relatesTo>1</relatesTo><i> Bala.Srinivasan@infotech.monash.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Jun2011, Vol. 53 Issue 2, p459-479. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Information+retrieval+software%22">Information retrieval software</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Voronoi+polygons%22">Voronoi polygons</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Global+Positioning+System%22">Global Positioning System</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications%22">Wireless communications</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures%22">Data structures</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+resources%22">Computer network resources</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Due to the universality and importance of range search queries processing in mobile and spatial databases as well as in geographic information system (GIS), numerous approaches on range search algorithms have been proposed in recent years. But ordinary range search queries focus only on a specific type of point objects. For queries which require to retrieve objects of interest locating in a particular region, ordinary range search could not get the expected results. In addition, most existing range search methods need to perform a searching on each road segments within the pre-defined range, which decreases the performance of range search. In this paper, we design a weighted network Voronoi diagram and propose a high-performance multilevel range search query processing that retrieves a set of objects locating in some specified region within the searching range. The experimental results show that our proposed algorithm runs very efficiently and outperforms its main competitor. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-010-0498-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 459 Subjects: – SubjectFull: Information retrieval software Type: general – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Geographic information systems Type: general – SubjectFull: Voronoi polygons Type: general – SubjectFull: Mobile apps Type: general – SubjectFull: Global Positioning System Type: general – SubjectFull: Wireless communications Type: general – SubjectFull: Data structures Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Computer network resources Type: general Titles: – TitleFull: Voronoi-based multi-level range search in mobile navigation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kefeng Xuan – PersonEntity: Name: NameFull: Geng Zhao – PersonEntity: Name: NameFull: Taniar, David – PersonEntity: Name: NameFull: Safar, Maytham – PersonEntity: Name: NameFull: Srinivasan, Bala IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 53 – Type: issue Value: 2 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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