Image Processing Reference
In-Depth Information
TABLE . (continued)
Characteristics
Essential Conceptual Features
Platform
Name of the Project/
In-Network
Acquisitional Query
Cross-Layer
Data-Centric Query/
Mechanism Author
Processing
Processing
Optimization
Data Dissemination
Simulation
Mote-Class
PDA-Class
PC-Class
TiNA []
Exploits temporal
correlations
×
×
×
Readings transmitted
only when user-
specified threshold
is exceeded
Deligiannakis
et al. []
Transmits approxi-
mated readings
generated using
base signals
×
×
×
WaveScheduling
×
×
Nodes scheduled to
minimize MAC
collisions
×
Saves energy, but
increases latency
Coman et al. []
Queries forwarded
based on spatial
and temporal ranges
×
×
×
REED []
Joins between static,
external tables, and
sensor nodes
×
×
×
BBQ []
×
Minimize sampling by
predicting sensor
readings using centralized
statistical models
×
×
Identify temporal and
spatial correlations
Ken []
Nodes keep local
model synchronized
with central model
×
×
×
Able to detect outliers
 
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