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Conference Paper: A statistics-based sensor selection scheme for continuous probabilistic queries in sensor networks

TitleA statistics-based sensor selection scheme for continuous probabilistic queries in sensor networks
Authors
KeywordsAlgorithms
Computer simulation
Probabilistic logics
Query languages
Reliability theory
Issue Date2005
PublisherIEEE.
Citation
The 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), Hong Kong, China, 17-19 August 2005. In Proceedings of the 11th RTCSA, 2005, p. 331-336 How to Cite?
AbstractAn approach to improve the reliability of query results based on error-prone sensors is to use redundant sensors. However, this approach is expensive; moreover, some sensors may malfunction and their readings need to be discarded. In this paper, we propose a statistical approach to decide which sensors to be used to answer a query. In particular, we propose to solve the problem with the aid of continuous probabilistic query (CPQ), which is originally used to manage uncertain data and is associated with a probabilistic guarantee on the query result. Based on the historical data values from the sensors, the query type, and the requirement on the query, we present methods to select an appropriate set of sensors and provide reliable answers for aggregate queries. Our algorithm is demonstrated in simulation experiments to provide accurate and robust query results. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/129582
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorHan, Sen_HK
dc.contributor.authorChan, Een_HK
dc.contributor.authorCheng, Ren_HK
dc.contributor.authorLam, KYen_HK
dc.date.accessioned2010-12-23T08:39:28Z-
dc.date.available2010-12-23T08:39:28Z-
dc.date.issued2005en_HK
dc.identifier.citationThe 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), Hong Kong, China, 17-19 August 2005. In Proceedings of the 11th RTCSA, 2005, p. 331-336en_HK
dc.identifier.isbn0-7695-2346-3-
dc.identifier.urihttp://hdl.handle.net/10722/129582-
dc.description.abstractAn approach to improve the reliability of query results based on error-prone sensors is to use redundant sensors. However, this approach is expensive; moreover, some sensors may malfunction and their readings need to be discarded. In this paper, we propose a statistical approach to decide which sensors to be used to answer a query. In particular, we propose to solve the problem with the aid of continuous probabilistic query (CPQ), which is originally used to manage uncertain data and is associated with a probabilistic guarantee on the query result. Based on the historical data values from the sensors, the query type, and the requirement on the query, we present methods to select an appropriate set of sensors and provide reliable answers for aggregate queries. Our algorithm is demonstrated in simulation experiments to provide accurate and robust query results. © 2005 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA’05en_HK
dc.rightsIEEE International Conference on Embedded and Real-Time Computing Systems and Applications. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2005 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.-
dc.subjectAlgorithms-
dc.subjectComputer simulation-
dc.subjectProbabilistic logics-
dc.subjectQuery languages-
dc.subjectReliability theory-
dc.titleA statistics-based sensor selection scheme for continuous probabilistic queries in sensor networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7695-2346-3 &volume=&spage=331&epage=336&date=2005&atitle=A+statistics-based+sensor+selection+scheme+for+continuous+probabilistic+queries+in+sensor+networks-
dc.identifier.emailCheng, R:ckcheng@cs.hku.hken_HK
dc.identifier.authorityCheng, R=rp00074en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/RTCSA.2005.15en_HK
dc.identifier.scopuseid_2-s2.0-33749044775en_HK
dc.identifier.hkuros176489en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33749044775&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage331en_HK
dc.identifier.epage336en_HK
dc.description.otherThe 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), Hong Kong, China, 17-19 August 2005. In Proceedings of the 11th RTCSA, 2005, p. 331-336-
dc.identifier.scopusauthoridHan, S=34769989100en_HK
dc.identifier.scopusauthoridChan, E=7401993897en_HK
dc.identifier.scopusauthoridCheng, R=7201955416en_HK
dc.identifier.scopusauthoridLam, KY=7403656886en_HK

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