Applications - Network and Systems Lab
Applications - Network and Systems Lab
Applications - Network and Systems Lab
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IPSN 2013 Ph.D. Forum<br />
Modeling of Application Logic<br />
• In the heritage building monitoring application…<br />
• Sensor data: acceleration, deformation, temperature, humidity<br />
• Processing: a Bayesian algorithm<br />
Dataflow-level Model<br />
: DataSink<br />
: FusionPoint<br />
function = DeseaseDetection<br />
inputDataTypes = {ACCELERATION, DEFORMATION, TEMPERATURE, HUMIDITY}<br />
outputDataType = StracturalCondition<br />
: DataSource<br />
dataType = ACCELERATION<br />
samplingCondition = 0.005 sec<br />
transmissionCondition = 30 sec<br />
location = WHOLE<br />
: TemporalAggregationPoinnt<br />
function = AVERAGE<br />
inputDataType = DEFORMATION<br />
timeWindow = 100 min<br />
duration = 10 min<br />
: DataSource<br />
dataType = TEMPERATURE<br />
samplingCondition = 10 min<br />
transmissionCondition = 10 min<br />
location = WHOLE<br />
: DataSource<br />
dataType = HUMIDITY<br />
samplingCondition = 10 min<br />
transmissionCondition = 10 min<br />
location = WHOLE<br />
: DataSource<br />
dataType = DEFORMATION<br />
samplingCondition = 10 min<br />
transmissionCondition = 10 min<br />
location = WHOLE<br />
We could model five application<br />
logics with DataflowML<br />
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