TY - GEN
T1 - Data-quality guided load shedding for expensive in-network data processing
AU - Peng, Lina
AU - Candan, Kasim
PY - 2007
Y1 - 2007
N2 - In situ wireless sensor networks, not only have to route sensed data from sources to destinations, but also have to filter and fuse observations to eliminate potentially irrelevant data. If data arrive faster to such fusion nodes than the speed with which they can consume the inputs, this will result in an overflow of input buffers. In this paper, we develop load shedding mechanisms which take into consideration both data quality and expensive nature of fusion operators. In particular, we present quality assessment models for objects and fusion operators and we highlight that such quality assessments may impose partial orders on objects.
AB - In situ wireless sensor networks, not only have to route sensed data from sources to destinations, but also have to filter and fuse observations to eliminate potentially irrelevant data. If data arrive faster to such fusion nodes than the speed with which they can consume the inputs, this will result in an overflow of input buffers. In this paper, we develop load shedding mechanisms which take into consideration both data quality and expensive nature of fusion operators. In particular, we present quality assessment models for objects and fusion operators and we highlight that such quality assessments may impose partial orders on objects.
UR - http://www.scopus.com/inward/record.url?scp=34548781841&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548781841&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2007.369003
DO - 10.1109/ICDE.2007.369003
M3 - Conference contribution
AN - SCOPUS:34548781841
SN - 1424408032
SN - 9781424408030
T3 - Proceedings - International Conference on Data Engineering
SP - 1325
EP - 1328
BT - 23rd International Conference on Data Engineering, ICDE 2007
T2 - 23rd International Conference on Data Engineering, ICDE 2007
Y2 - 15 April 2007 through 20 April 2007
ER -