File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: 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
KeywordsContinuous probabilistic queries
Data uncertainty
Sensor networks
Sensor selection
Issue Date2007
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0922-6443
Citation
Real-Time Systems, 2007, v. 35 n. 1, p. 33-58 How to Cite?
AbstractA common approach to improve the reliability of query results based on error-prone sensors is to introduce redundant sensors. However, using multiple sensors to generate the value for a data item can be expensive, especially in wireless environments where continuous queries are executed. Moreover, some sensors may not be working properly and their readings need to be discarded. In this paper, we propose a statistical approach to decide which sensor nodes 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 sensor nodes, the query type, and the requirement on the query, we present methods to select an appropriate set of sensors and provide reliable answers for several common aggregate queries. Our statistics-based sensor node selection algorithm is demonstrated in a number of simulation experiments, which shows that a small number of sensor nodes can provide accurate and robust query results. © Springer Science+Business Media, LLC 2006.
Persistent Identifierhttp://hdl.handle.net/10722/129979
ISSN
2015 Impact Factor: 0.738
2015 SCImago Journal Rankings: 0.842
ISI Accession Number ID
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.accessioned2010-12-23T08:45:06Z-
dc.date.available2010-12-23T08:45:06Z-
dc.date.issued2007en_HK
dc.identifier.citationReal-Time Systems, 2007, v. 35 n. 1, p. 33-58en_HK
dc.identifier.issn0922-6443en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129979-
dc.description.abstractA common approach to improve the reliability of query results based on error-prone sensors is to introduce redundant sensors. However, using multiple sensors to generate the value for a data item can be expensive, especially in wireless environments where continuous queries are executed. Moreover, some sensors may not be working properly and their readings need to be discarded. In this paper, we propose a statistical approach to decide which sensor nodes 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 sensor nodes, the query type, and the requirement on the query, we present methods to select an appropriate set of sensors and provide reliable answers for several common aggregate queries. Our statistics-based sensor node selection algorithm is demonstrated in a number of simulation experiments, which shows that a small number of sensor nodes can provide accurate and robust query results. © Springer Science+Business Media, LLC 2006.en_HK
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0922-6443en_HK
dc.relation.ispartofReal-Time Systemsen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectContinuous probabilistic queriesen_HK
dc.subjectData uncertaintyen_HK
dc.subjectSensor networksen_HK
dc.subjectSensor selectionen_HK
dc.titleA statistics-based sensor selection scheme for continuous probabilistic queries in sensor networksen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0922-6443&volume=35&issue=1&spage=33&epage=58&date=2007&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.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11241-006-9000-3en_HK
dc.identifier.scopuseid_2-s2.0-33750343721en_HK
dc.identifier.hkuros176456en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33750343721&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue1en_HK
dc.identifier.spage33en_HK
dc.identifier.epage58en_HK
dc.identifier.isiWOS:000241455600002-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHan, S=34769989100en_HK
dc.identifier.scopusauthoridChan, E=7401993897en_HK
dc.identifier.scopusauthoridCheng, R=7201955416en_HK
dc.identifier.scopusauthoridLam, KY=7403656886en_HK
dc.identifier.citeulike1032158-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats