def transmitData(inputFile, logDir, predictionInterval, samplingInterval,
heartbeat, drThreshold, delay, jitter, packetLoss):
# Import data
print "Importing data..."
importer = Importer()
rawInputData = importer.getInputData(inputFile, samplingInterval)
exportData(logDir + "RawInputData.txt", rawInputData)
# Filtering input data
print "Filtering data..."
samplingFreq = int(1e3 / samplingInterval)
taps = 80
bands = [0.0, 10, 11, 50.0]
weights = [1, 0]
coefficients = scipy.signal.remez(taps, bands, weights, Hz=samplingFreq)
gain = 1.0 / sum(coefficients)
filteredInputData = filterData(rawInputData, logDir, "cc",
samplingInterval, coefficients)[0]
filteredInputData = amplifyData(filteredInputData, gain)
exportData(logDir + "FilteredInputData.txt", filteredInputData)
# Create the prediction vectors
print "Creating the prediction vectors..."
predictor = DRPredictor()
predictedData = predictor.getPredictedData(filteredInputData,
predictionInterval,
samplingInterval)
exportData(logDir + "PredictionData.txt", predictedData)
# Run the transmission algorithm
print "Simulating the transmission algorithm..."
transmitter = DRTransmitter(heartbeat)
drTxPackets = transmitter.getTransmittedPackets(drThreshold, predictedData)
exportData(logDir + "DRTxPackets.txt", drTxPackets)
# Simulate the transmission of the packets
print "Simulating the network..."
network = Network()
drRxPackets = network.getReceivedPackets(drTxPackets, delay, jitter,
packetLoss)
exportData(logDir + "DRRxPackets.txt", drRxPackets)
# Receive the packets
print "Receiving the packets..."
receiver = Receiver()
drRxFilteredPackets = receiver.getFilteredData(drRxPackets)
exportData(logDir + "DRRxData.txt", drRxFilteredPackets)
return [
rawInputData, filteredInputData, predictedData, drTxPackets,
drRxPackets, drRxFilteredPackets
]
# Plotting paramters
lowerTime = 18000
upperTime = 26500
yMax = 0.45
yMin = 0.05
# Simulate the algorithm
stepFunc = []
for i in range(0, 5001, 10):
if i < 200:
stepFunc.append(Sample(i, 0, 0, 0))
else:
stepFunc.append(Sample(i, 1, 1, 1))
predictor = DRPredictor()
predictedData = predictor.getPredictedData(stepFunc, predictionInterval,
samplingInterval)
s.exportData(logDir + "PredictionData.txt", predictedData)
transmitter = DRTransmitter(heartbeat)
drTxPackets = transmitter.getTransmittedPackets(.9, predictedData)
s.exportData(logDir + "TransmittedData.txt", drTxPackets)
network = Network()
drRxPackets = network.getReceivedPackets(drTxPackets, delay, jitter,
packetLoss)
s.exportData(logDir + "ReceivedData.txt", drRxPackets)
receiver = Receiver()
drRxFilteredPackets = receiver.getFilteredData(drRxPackets)
s.exportData(logDir + "FilteredData.txt", drRxFilteredPackets)
convergedData = s.convergeData(drRxFilteredPackets, logDir, "-",
samplingInterval, interpolationType,
