Dataflow query execution in a parallel main-memory environment
Distributed and Parallel Databases - Selected papers from the first international conference on parallel and distributed information systems
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Ripple joins for online aggregation
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Statistical estimators for relational algebra expressions
Proceedings of the seventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Proceedings of the 7th annual international conference on Mobile computing and networking
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Medians and beyond: new aggregation techniques for sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Beyond average: toward sophisticated sensing with queries
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
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Recently, researches on relational database approaches to sensor networks are being tried. There occur, however, some problems in applying directly the traditional relational database concepts into a sensor network in that every database operation is performed only on the real existing data which are tuples in database relations. The reason is because in a sensor network viewpoint situations under which some operations should be performed on non-existing data may occur frequently. For instance, let us assume a sensor network that two different classes of nodes are randomly scattered in the same area. We cannot get join results to know the relationship between two different classes of sensing values because there might be no nodes at a exact same location. For a solution about the above described problem we propose in this paper new join operators. This new join operators can provide more effective data management and standard interfaces to application programs in sensor networks.