TY - GEN
T1 - PSRA
T2 - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
AU - Liu, Haiyang
AU - Hwang, San Yih
AU - Srivastava, Jaideep
PY - 2006
Y1 - 2006
N2 - Sensor data streams exhibit unique characteristics such as inherent information uncertainty, intrinsic data sample correlations (both within and across streams) and resource constraints. In this paper, we introduce a new data model, called Probabilistic Stream Relational Algebra (PSRA), that extends conventional relational model to capture these new characteristics faced in managing data in sensor networks. New data types, new operations and essential strategies are incorporated into PSRA to facilitate flexible data modeling and resource-efficient operations. We show that operators in PSRA are non-blocking and more expressive than conventional relational model and existing deterministic data stream processing models. A demonstrating application implementing key operations in PSRA is provided to show the advantages of utilizing PSRA in managing data in sensor networks.
AB - Sensor data streams exhibit unique characteristics such as inherent information uncertainty, intrinsic data sample correlations (both within and across streams) and resource constraints. In this paper, we introduce a new data model, called Probabilistic Stream Relational Algebra (PSRA), that extends conventional relational model to capture these new characteristics faced in managing data in sensor networks. New data types, new operations and essential strategies are incorporated into PSRA to facilitate flexible data modeling and resource-efficient operations. We show that operators in PSRA are non-blocking and more expressive than conventional relational model and existing deterministic data stream processing models. A demonstrating application implementing key operations in PSRA is provided to show the advantages of utilizing PSRA in managing data in sensor networks.
UR - http://www.scopus.com/inward/record.url?scp=33845423029&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33845423029&partnerID=8YFLogxK
U2 - 10.1109/SUTC.2006.1636222
DO - 10.1109/SUTC.2006.1636222
M3 - Conference contribution
AN - SCOPUS:33845423029
SN - 0769525539
SN - 9780769525532
T3 - Proceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
SP - 540
EP - 547
BT - Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
Y2 - 5 June 2006 through 7 June 2006
ER -