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dc.contributor.authorLai, Chuan-Chien_US
dc.contributor.authorAkbar, Zulhaydar Fairozalen_US
dc.contributor.authorLiu, Chuan-Mingen_US
dc.contributor.authorTa, Van-Daien_US
dc.contributor.authorWang, Li-Chunen_US
dc.date.accessioned2019-09-02T07:46:21Z-
dc.date.available2019-09-02T07:46:21Z-
dc.date.issued2019-08-01en_US
dc.identifier.issn2327-4662en_US
dc.identifier.urihttp://dx.doi.org/10.1109/JIOT.2019.2909393en_US
dc.identifier.urihttp://hdl.handle.net/11536/152732-
dc.description.abstractA range-skyline query (RSQ) is the combination of range query and skyline query. It is one of the practical query types in multicriteria decision services, which may include the spatial and nonspatial information as well as make the resulting information more useful than skyline search when the location is concerned. Furthermore, continuous RSQ (CRSQ) is an extension of RSQ that the system continuously reports the skyline results to a query within a given search range. This paper focuses on the RSQ and CRSQ within a specific range on Internet of Mobile Things (IoMT) applications. Many server-client approaches for CRSQ have been proposed but are sensitive to the number of moving objects. We propose an effective and noncentralized approach, distributed CRSQ process (DCRSQ process), for supporting RSQ and CRSQ in mobile environments. By considering the mobility, the proposed approach can predict the time when an object falls in the query range and ignore more irrelevant information when deriving the results, thus saving the computation overhead. The proposed approach, DCRSQ process, is analyzed on cost and validated with extensive simulated experiments. The results show that DCRSQ process outperforms the existing approaches in different scenarios and aspects.en_US
dc.language.isoen_USen_US
dc.subjectCooperative processen_US
dc.subjectInternet of Mobile Things (IoMT)en_US
dc.subjectquery processingen_US
dc.subjectrange-skylineen_US
dc.titleDistributed Continuous Range-Skyline Query Monitoring Over the Internet of Mobile Thingsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/JIOT.2019.2909393en_US
dc.identifier.journalIEEE INTERNET OF THINGS JOURNALen_US
dc.citation.volume6en_US
dc.citation.issue4en_US
dc.citation.spage6652en_US
dc.citation.epage6667en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000478957600074en_US
dc.citation.woscount0en_US
Appears in Collections:Articles