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dc.contributor.authorHung, Chih-Chiehen_US
dc.contributor.authorPeng, Wen-Chihen_US
dc.contributor.authorLee, Wang-Chienen_US
dc.date.accessioned2014-12-08T15:24:08Z-
dc.date.available2014-12-08T15:24:08Z-
dc.date.issued2012-11-01en_US
dc.identifier.issn1041-4347en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TKDE.2011.224en_US
dc.identifier.urihttp://hdl.handle.net/11536/16793-
dc.description.abstractTo conserve energy, sensor nodes with similar readings can be grouped such that readings from only the representative nodes within the groups need to be reported. However, efficiently identifying sensor groups and their representative nodes is a very challenging task. In this paper, we propose a centralized algorithm to determine a set of representative nodes with high energy levels and wide data coverage ranges. Here, the data coverage range of a sensor node is considered to be the set of sensor nodes that have reading behaviors very close to the particular sensor node. To further reduce the extra cost incurred in messages for selection of representative nodes, a distributed algorithm is developed. Furthermore, maintenance mechanisms are proposed to dynamically select alternative representative nodes when the original representative nodes run low on energy, or cannot capture spatial correlation within their respective data coverage ranges. Using experimental studies on both synthesis and real data sets, our proposed algorithms are shown to effectively and efficiently provide approximate data collection while prolonging the network lifetime.en_US
dc.language.isoen_USen_US
dc.subjectApproximate data collectionen_US
dc.subjectwireless sensor networksen_US
dc.subjectspatial correlation and clusteringen_US
dc.titleEnergy-Aware Set-Covering Approaches for Approximate Data Collection in Wireless Sensor Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TKDE.2011.224en_US
dc.identifier.journalIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGen_US
dc.citation.volume24en_US
dc.citation.issue11en_US
dc.citation.spage1993en_US
dc.citation.epage2007en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000308997600006-
dc.citation.woscount5-
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