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Conference Paper: Retrieval of spatial join pattern instances from sensor networks

TitleRetrieval of spatial join pattern instances from sensor networks
Authors
Issue Date2007
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1384-6175
Citation
Proceedings Of The International Conference On Scientific And Statistical Database Management, SSDBM, 2007 How to Cite?
AbstractWe study the continuous evaluation of spatial join queries and extensions thereof, defined by interesting combinations of sensor readings (events) that co-occur in a spatial neighborhood. An example of such a pattern is "a high temperature reading in the vicinity of at least four high-pressure readings". We devise acquisitional and distributed protocols for evaluating this class of queries, aiming at the minimization of energy consumption. Cases of simple and complex join queries with single or multi-hop distance constraints are considered. Finally, we experimentally compare the effectiveness of the proposed solutions on an experimental platform that simulates real sensor networks. Our results show that acquisitional protocols perform best for multi-hop or high-selectivity queries while distributed techniques should be applied for the remaining cases. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/60615
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorYiu, MLen_HK
dc.contributor.authorMamoulis, Nen_HK
dc.contributor.authorBakiras, Sen_HK
dc.date.accessioned2010-05-31T04:15:01Z-
dc.date.available2010-05-31T04:15:01Z-
dc.date.issued2007en_HK
dc.identifier.citationProceedings Of The International Conference On Scientific And Statistical Database Management, SSDBM, 2007en_HK
dc.identifier.issn1099-3371en_HK
dc.identifier.urihttp://hdl.handle.net/10722/60615-
dc.description.abstractWe study the continuous evaluation of spatial join queries and extensions thereof, defined by interesting combinations of sensor readings (events) that co-occur in a spatial neighborhood. An example of such a pattern is "a high temperature reading in the vicinity of at least four high-pressure readings". We devise acquisitional and distributed protocols for evaluating this class of queries, aiming at the minimization of energy consumption. Cases of simple and complex join queries with single or multi-hop distance constraints are considered. Finally, we experimentally compare the effectiveness of the proposed solutions on an experimental platform that simulates real sensor networks. Our results show that acquisitional protocols perform best for multi-hop or high-selectivity queries while distributed techniques should be applied for the remaining cases. © 2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1384-6175en_HK
dc.relation.ispartofProceedings of the International Conference on Scientific and Statistical Database Management, SSDBMen_HK
dc.titleRetrieval of spatial join pattern instances from sensor networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1384-6175&volume=13&issue=1&spage=57&epage=84&date=2009&atitle=Retrieval+of+Spatial+Join+Pattern+Instances+from+Sensor+Networksen_HK
dc.identifier.emailMamoulis, N:nikos@cs.hku.hken_HK
dc.identifier.authorityMamoulis, N=rp00155en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/SSDBM.2007.41en_HK
dc.identifier.scopuseid_2-s2.0-46649102659en_HK
dc.identifier.hkuros140824-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-46649102659&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.scopusauthoridYiu, ML=8589889600en_HK
dc.identifier.scopusauthoridMamoulis, N=6701782749en_HK
dc.identifier.scopusauthoridBakiras, S=9632625700en_HK

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