DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Byoungjip | ko |
dc.contributor.author | Lee, SangJeong | ko |
dc.contributor.author | Lee, Youngki | ko |
dc.contributor.author | Hwang, Inseok | ko |
dc.contributor.author | Rhee, Yunseok | ko |
dc.contributor.author | Song, Junehwa | ko |
dc.date.accessioned | 2013-03-09T02:18:59Z | - |
dc.date.available | 2013-03-09T02:18:59Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2011-11 | - |
dc.identifier.citation | JOURNAL OF SYSTEMS AND SOFTWARE, v.84, no.11, pp.1852 - 1870 | - |
dc.identifier.issn | 0164-1212 | - |
dc.identifier.uri | http://hdl.handle.net/10203/95104 | - |
dc.description.abstract | With the explosive proliferation of mobile devices such as smartphones, tablets, and sensor nodes, location-based services are getting even more attention than before, considered as one of the killer applications in the upcoming mobile computing era. Developing location-based services necessarily requires an effective and scalable location data processing technology. In this paper, we present Mobiiscape, a novel location monitoring system that collectively monitors mobility patterns of a large number of moving objects in a large-scale city to support city-wide mobility-aware applications. Mobiiscape provides an SQL-like query language named Moving Object Monitoring Query Language (MQL) that allows applications to intuitively specify Mobility Pattern Monitoring Queries (MPQs). Further, Mobiiscape provides a set of scalable location monitoring techniques to efficiently process a large number of MPQs over a large number of location streams. The scalable processing techniques include a (1) Place Border Index, a spatial index for quickly searching for relevant queries upon receiving location streams, (2) Place-Based Window, a spatial-purpose window for efficiently detecting primitive mobility patterns, (3)Shared NFA, a shared query processing technique for efficiently matching complex mobility patterns, and (4) Attribute Pre-matching Bitmap, an in-memory data structure for efficiently filtering out moving objects based on their attributes. We have implemented a Mobiiscape prototype system. Then, we show the usefulness of the system by implementing promising location-based applications based on it such as a ubiquitous taxicab service and a location-based advertising. Also, we demonstrate the performance benefit of the system through extensive evaluation and comparison. (C) 2011 Elsevier Inc. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE INC | - |
dc.title | Mobiiscape: Middleware support for scalable mobility pattern monitoring of moving objects in a large-scale city | - |
dc.type | Article | - |
dc.identifier.wosid | 000295997900003 | - |
dc.identifier.scopusid | 2-s2.0-80052771296 | - |
dc.type.rims | ART | - |
dc.citation.volume | 84 | - |
dc.citation.issue | 11 | - |
dc.citation.beginningpage | 1852 | - |
dc.citation.endingpage | 1870 | - |
dc.citation.publicationname | JOURNAL OF SYSTEMS AND SOFTWARE | - |
dc.contributor.localauthor | Song, Junehwa | - |
dc.contributor.nonIdAuthor | Rhee, Yunseok | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Location-based services | - |
dc.subject.keywordAuthor | Mobility pattern monitoring | - |
dc.subject.keywordAuthor | Location stream processing | - |
dc.subject.keywordAuthor | Complex event processing | - |
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