Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.pmcj.2008.08.001
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dc.titleNearest neighbor queries with peer-to-peer data sharing in mobile environments
dc.contributor.authorKu, W.-S.
dc.contributor.authorZimmermann, R.
dc.date.accessioned2013-07-04T07:36:32Z
dc.date.available2013-07-04T07:36:32Z
dc.date.issued2008
dc.identifier.citationKu, W.-S.,Zimmermann, R. (2008). Nearest neighbor queries with peer-to-peer data sharing in mobile environments. Pervasive and Mobile Computing 4 (5) : 775-788. ScholarBank@NUS Repository. <a href="https://doi.org/10.1016/j.pmcj.2008.08.001" target="_blank">https://doi.org/10.1016/j.pmcj.2008.08.001</a>
dc.identifier.issn15741192
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39213
dc.description.abstractNearest neighbor queries, such as determining the proximity of stationary objects (e.g., restaurants and gas stations) are an important class of inquiries for supporting location-based services. We present a novel approach to support nearest neighbor queries from mobile hosts by leveraging the sharing capabilities of wireless ad-hoc networks. We illustrate how previous query results cached in the local storage of neighboring mobile users can be leveraged to either fully or partially compute and verify nearest neighbor queries at a local host. The feasibility and appeal of our technique is illustrated through extensive simulation results that indicate a considerable reduction of the query load on the remote database. Furthermore, the scalability of our approach is excellent because a higher density of mobile hosts increases its effectiveness. © 2008 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.pmcj.2008.08.001
dc.sourceScopus
dc.subjectLocation-based services
dc.subjectMobile computing
dc.subjectNearest neighbor query
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/j.pmcj.2008.08.001
dc.description.sourcetitlePervasive and Mobile Computing
dc.description.volume4
dc.description.issue5
dc.description.page775-788
dc.identifier.isiutNOT_IN_WOS
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