Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/800
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dc.contributorDepartment of Computing-
dc.creatorWang, G-
dc.creatorCao, J-
dc.creatorWang, H-
dc.creatorGuo, M-
dc.date.accessioned2014-12-11T08:22:23Z-
dc.date.available2014-12-11T08:22:23Z-
dc.identifier.isbn1424410428-
dc.identifier.issn1930-529X-
dc.identifier.urihttp://hdl.handle.net/10397/800-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectWireless sensor networksen_US
dc.subjectData gatheringen_US
dc.subjectRegressionen_US
dc.subjectEnergy efficiencyen_US
dc.subjectEnvironmental monitoringen_US
dc.titlePolynomial regression for data gathering in environmental monitoring applicationsen_US
dc.typeConference Paperen_US
dcterms.abstractHow to prolong the lifetime of wireless sensor networks is one of the most important design issues. In order to tackle this issue, we propose an energy-efficient polynomial regression-based data gathering algorithm in environmental monitoring applications. Each sensor node in the network fits a regression function with its sensed data in most recent rounds, and sends coefficients of the regression function and some related parameters to the sink node instead of sending the sensed data. Theoretical analysis and simulation studies show that the proposed algorithm can greatly reduce data transmissions among the sensor nodes, with significant energy savings on the sensor nodes and thus extending lifetime of the entire network.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE GLOBECOM 2007 : 50th IEEE Global Communications Conference : 26-30 November 2007, Washington, DC, p. 1307-1311-
dcterms.issued2007-
dc.identifier.scopus2-s2.0-39349097507-
dc.relation.ispartofbookIEEE GLOBECOM 2007 : 50th IEEE Global Communications Conference : 26-30 November 2007, Washington, DC-
dc.relation.conferenceIEEE Global Telecommunications Conference [GLOBECOM]-
dc.identifier.rosgroupidr37314-
dc.description.ros2007-2008 > Academic research: refereed > Refereed conference paper-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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