Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2006.142
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dc.titleSkyline queries against mobile lightweight devices in MANETs
dc.contributor.authorHUANG ZHIYONG
dc.contributor.authorJensen, C.S.
dc.contributor.authorLu, H.
dc.contributor.authorOoi, B.C.
dc.date.accessioned2013-07-04T08:17:58Z
dc.date.available2013-07-04T08:17:58Z
dc.date.issued2006
dc.identifier.citationHUANG ZHIYONG, Jensen, C.S., Lu, H., Ooi, B.C. (2006). Skyline queries against mobile lightweight devices in MANETs. Proceedings - International Conference on Data Engineering 2006 : 66-. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDE.2006.142
dc.identifier.isbn0769525709
dc.identifier.issn10844627
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41029
dc.description.abstractSkyline queries are well suited when retrieving data according to multiple criteria. While most previous work has assumed a centralized setting this paper considers skyline querying in a mobile and distributed setting, where each mobile device is capable of holding only a portion of the whole dataset; where devices communicate through mobile ad hoc networks; and where a query issued by a mobile user is interested only in the user's local area, although a query generally involves data stored on many mobile devices due to the storage limitations. We present techniques that aim to reduce the costs of communication among mobile devices and reduce the execution time on each single mobile device. For the former, skyline query requests are forwarded among mobile devices in a deliberate way, such that the amount of data to be transferred is reduced. For the latter, specific optimization measures are proposed for resource-constrained mobile devices. We conduct extensive experiments to show that our proposal performs efficiently in real mobile devices and simulated wireless ad hoc networks. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDE.2006.142
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICDE.2006.142
dc.description.sourcetitleProceedings - International Conference on Data Engineering
dc.description.volume2006
dc.description.page66-
dc.identifier.isiutNOT_IN_WOS
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