def models(self, model=None, staMov=None, min_v=0, max_v=0, seed=None, stations=None, aps=None,
dstConn=None, srcConn=None, walls=None, plotNodes=None, MAX_X=0, MAX_Y=0):
np.random.seed(seed)
self.staList = stations
self.apList = aps
self.wallList = walls
nodes = self.staList + self.apList + plotNodes
# max waiting time
MAX_WT = 100.
for sta in self.staList:
if sta.max_x == 0:
sta.max_x = MAX_X
if sta.max_y == 0:
sta.max_y = MAX_Y
if sta.max_v == 0:
sta.max_v = max_v
if sta.min_v == 0:
sta.min_v = min_v
if self.DRAW:
plot2d.instantiateGraph(MAX_X, MAX_Y)
plot2d.plotGraph(nodes, srcConn, dstConn, MAX_X, MAX_Y)
plot2d.graphPause()
if staMov != None:
debug('Configuring the mobility model %s' % model)
if(model == 'RandomWalk'): # Random Walk model
mob = random_walk(staMov)
elif(model == 'TruncatedLevyWalk'): # Truncated Levy Walk model
mob = truncated_levy_walk(staMov)
elif(model == 'RandomDirection'): # Random Direction model
mob = random_direction(staMov, dimensions=(MAX_X, MAX_Y))
elif(model == 'RandomWayPoint'): # Random Waypoint model
mob = random_waypoint(staMov, wt_max=MAX_WT)
elif(model == 'GaussMarkov'): # Gauss-Markov model
mob = gauss_markov(staMov, alpha=0.99)
elif(model == 'ReferencePoint'): # Reference Point Group model
mob = reference_point_group(staMov, dimensions=(MAX_X, MAX_Y), aggregation=0.5)
elif(model == 'TimeVariantCommunity'): # Time-variant Community Mobility Model
mob = tvc(staMov, dimensions=(MAX_X, MAX_Y), aggregation=[0.5, 0.], epoch=[100, 100])
else:
raise Exception("Model not defined!")
if self.DRAW:
self.startMobilityModelGraph(mob, staMov)
else:
self.startMobilityModelNoGraph(mob, staMov)
def models(self, stations=None, aps=None, model=None, staMov=None, min_v=0, max_v=0, seed=None,
dstConn=None, srcConn=None, walls=None, plotNodes=None, MAX_X=0, MAX_Y=0):
"""
Used when a mobility model is applied
:param stations: list of stations
:param aps: list of access points
:param model: mobility model
:param staMov: list of nodes with mobility
:param min_v: minimum velocity
:param max_v: maximum velocity
:param speed: speed
:param srcConn: list of connections for source nodes
:param dstConn: list of connections for destination nodes
:param walls: list of walls (not used yet)
:param plotNodes: list of nodes to be plotted (including hosts and switches)
:param MAX_X: Maximum value for X
:param MAX_Y: Maximum value for Y
"""
np.random.seed(seed)
self.stations = stations
self.accessPoints = aps
self.wallList = walls
nodes = self.stations + self.accessPoints + plotNodes
# max waiting time
MAX_WT = 100.
for sta in self.stations:
if sta.max_x == 0:
sta.max_x = MAX_X
if sta.max_y == 0:
sta.max_y = MAX_Y
if sta.max_v == 0:
sta.max_v = max_v
if sta.min_v == 0:
sta.min_v = min_v
if self.DRAW:
plot2d.instantiateGraph(MAX_X, MAX_Y)
plot2d.plotGraph(nodes, srcConn, dstConn, MAX_X, MAX_Y)
plot2d.graphPause()
if staMov != None:
debug('Configuring the mobility model %s' % model)
if(model == 'RandomWalk'): # Random Walk model
mob = random_walk(staMov)
elif(model == 'TruncatedLevyWalk'): # Truncated Levy Walk model
mob = truncated_levy_walk(staMov)
elif(model == 'RandomDirection'): # Random Direction model
mob = random_direction(staMov, dimensions=(MAX_X, MAX_Y))
elif(model == 'RandomWayPoint'): # Random Waypoint model
mob = random_waypoint(staMov, wt_max=MAX_WT)
elif(model == 'GaussMarkov'): # Gauss-Markov model
mob = gauss_markov(staMov, alpha=0.99)
elif(model == 'ReferencePoint'): # Reference Point Group model
mob = reference_point_group(staMov, dimensions=(MAX_X, MAX_Y), aggregation=0.5)
elif(model == 'TimeVariantCommunity'): # Time-variant Community Mobility Model
mob = tvc(staMov, dimensions=(MAX_X, MAX_Y), aggregation=[0.5, 0.], epoch=[100, 100])
else:
raise Exception("Mobility Model not defined or doesn't exist!")
if self.DRAW:
self.startMobilityModelGraph(mob, staMov)
else:
self.startMobilityModelNoGraph(mob, staMov)
def models(self,
nodes=None,
model=None,
min_v=0,
max_v=0,
seed=None,
staMov=None,
**mobilityparam):
np.random.seed(seed)
# simulation area (units)
MAX_X, MAX_Y = self.MAX_X, self.MAX_Y
dic = dict()
dic['max_x'] = MAX_X
dic['max_y'] = MAX_Y
# max waiting time
MAX_WT = 100.
for node in nodes:
if node.max_x == 0:
node.max_x = MAX_X
if node.max_y == 0:
node.max_y = MAX_Y
if node.max_v == 0:
node.max_v = max_v
if node.min_v == 0:
node.min_v = min_v
debug('Setting the mobility model %s' % model)
if (model == 'RandomWalk'): # Random Walk model
mob = random_walk(staMov)
elif (model == 'TruncatedLevyWalk'): # Truncated Levy Walk model
mob = truncated_levy_walk(staMov)
elif (model == 'RandomDirection'): # Random Direction model
mob = random_direction(staMov, dimensions=(MAX_X, MAX_Y))
elif (model == 'RandomWayPoint'): # Random Waypoint model
mob = random_waypoint(staMov, wt_max=MAX_WT)
elif (model == 'GaussMarkov'): # Gauss-Markov model
mob = gauss_markov(staMov, alpha=0.99)
elif (model == 'ReferencePoint'): # Reference Point Group model
mob = reference_point_group(staMov,
dimensions=(MAX_X, MAX_Y),
aggregation=0.5)
elif (model == 'TimeVariantCommunity'
): # Time-variant Community Mobility Model
mob = tvc(staMov,
dimensions=(MAX_X, MAX_Y),
aggregation=[0.5, 0.],
epoch=[100, 100])
else:
raise Exception("Model not defined!")
if self.DRAW:
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
plot.plotGraph(nodes, mobility.wallList, staMov, **dic)
for xy in mob:
i = 0
for n in range(0, len(nodes)):
node = nodes[n]
if node in staMov:
if 'station' == node.type:
node.params['position'] = xy[i][0], xy[i][1], 0
i += 1
if self.DRAW:
plot.pltNode[node].set_data(xy[:, 0], xy[:, 1])
plot.drawTxt(node)
plot.drawCircle(node)
if self.DRAW:
plot.graphUpdate(node)
plot.graphPause()
def models(self,
model=None,
staMov=None,
min_v=0,
max_v=0,
seed=None,
stations=None,
aps=None,
dstConn=None,
srcConn=None,
walls=None,
plotNodes=None,
MAX_X=0,
MAX_Y=0):
np.random.seed(seed)
self.staList = stations
self.apList = aps
self.wallList = walls
nodes = self.staList + self.apList + plotNodes
dic = dict()
dic['max_x'] = MAX_X
dic['max_y'] = MAX_Y
# max waiting time
MAX_WT = 100.
for sta in self.staList:
if sta.max_x == 0:
sta.max_x = MAX_X
if sta.max_y == 0:
sta.max_y = MAX_Y
if sta.max_v == 0:
sta.max_v = max_v
if sta.min_v == 0:
sta.min_v = min_v
debug('Configuring the mobility model %s' % model)
if (model == 'RandomWalk'): # Random Walk model
mob = random_walk(staMov)
elif (model == 'TruncatedLevyWalk'): # Truncated Levy Walk model
mob = truncated_levy_walk(staMov)
elif (model == 'RandomDirection'): # Random Direction model
mob = random_direction(staMov, dimensions=(MAX_X, MAX_Y))
elif (model == 'RandomWayPoint'): # Random Waypoint model
mob = random_waypoint(staMov, wt_max=MAX_WT)
elif (model == 'GaussMarkov'): # Gauss-Markov model
mob = gauss_markov(staMov, alpha=0.99)
elif (model == 'ReferencePoint'): # Reference Point Group model
mob = reference_point_group(staMov,
dimensions=(MAX_X, MAX_Y),
aggregation=0.5)
elif (model == 'TimeVariantCommunity'
): # Time-variant Community Mobility Model
mob = tvc(staMov,
dimensions=(MAX_X, MAX_Y),
aggregation=[0.5, 0.],
epoch=[100, 100])
else:
raise Exception("Model not defined!")
if self.DRAW:
plot.instantiateGraph(MAX_X, MAX_Y)
plot.plotGraph(nodes, self.wallList, staMov, srcConn, dstConn,
**dic)
for xy in mob:
i = 0
for node in staMov:
node.params['position'] = xy[i][0], xy[i][1], 0
i += 1
if self.DRAW:
plot.pltNode[node].set_data(xy[:, 0], xy[:, 1])
plot.drawTxt(node)
plot.drawCircle(node)
if self.DRAW:
plot.graphUpdate(node)
plot.graphPause()
def models(self, nodes=None, model=None, max_x=None, max_y=None, min_v=None,
max_v=None, seed=None, staMov=None, **mobilityparam):
self.modelName = model
np.random.seed(seed)
# number of nodes
nr_nodes = len(staMov)
# simulation area (units)
MAX_X, MAX_Y = max_x, max_y
# max and min velocity
MIN_V, MAX_V = min_v, max_v
# max waiting time
MAX_WT = 100.
if(self.modelName=='RandomWalk'): ## Random Walk model
mob = random_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
elif(self.modelName=='TruncatedLevyWalk'): ## Truncated Levy Walk model
mob = truncated_levy_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
elif(self.modelName=='RandomDirection'): ## Random Direction model
mob = random_direction(nr_nodes, dimensions=(MAX_X, MAX_Y), velocity=(MIN_V, MAX_V))
elif(self.modelName=='RandomWayPoint'): ## Random Waypoint model
mob = random_waypoint(nr_nodes, dimensions=(MAX_X, MAX_Y), velocity=(MIN_V, MAX_V), wt_max=MAX_WT)
elif(self.modelName=='GaussMarkov'): ## Gauss-Markov model
mob = gauss_markov(nr_nodes, dimensions=(MAX_X, MAX_Y), alpha=0.99)
elif(self.modelName=='ReferencePoint'): ## Reference Point Group model
mob = reference_point_group(nr_nodes, dimensions=(MAX_X, MAX_Y), aggregation=0.5)
elif(self.modelName=='TimeVariantCommunity'): ## Time-variant Community Mobility Model
mob = tvc(nr_nodes, dimensions=(MAX_X, MAX_Y), aggregation=[0.5,0.], epoch=[100,100])
else:
print 'Model not defined!'
if emulationEnvironment.DRAW:
debug('Enabling Graph...\n')
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
for node in nodes:
self.instatiateNodes(node)
if node not in staMov or 'accessPoint' == node.type:
plot.pltNode[node].set_data(node.position[0],node.position[1])
plot.drawTxt(node)
plot.drawCircle(node)
if node.type == 'accessPoint':
for c in node.connections:
line = plot.plotLine2d([node.connections[c].position[0],node.position[0]], \
[node.connections[c].position[1],node.position[1]], 'b')
plot.plotLine(line)
#Sometimes getting the error: Failed to connect to generic netlink.
try:
if model!='':
for xy in mob:
i = 0
for n in range (0,len(nodes)):
node = nodes[n]
if node in staMov:
if 'station' == node.type:
node.position = xy[i][0], xy[i][1], 0
i += 1
if emulationEnvironment.DRAW:
plot.pltNode[node].set_data(xy[:,0],xy[:,1])
plot.drawTxt(node)
plot.drawCircle(node)
#self.parameters()
if emulationEnvironment.DRAW:
plt.title("Mininet-WiFi Graph")
plt.draw()
except:
pass
def models(self, nodes=None, model=None, min_v=None, max_v=None, seed=None,
staMov=None, **mobilityparam):
np.random.seed(seed)
# simulation area (units)
MAX_X, MAX_Y = self.MAX_X, self.MAX_Y
# max waiting time
MAX_WT = 100.
for node in nodes:
if node.max_x == 0:
node.max_x = MAX_X
if node.max_y == 0:
node.max_y = MAX_Y
if node.max_v == 0:
node.max_v = max_v
if node.min_v == 0:
node.min_v = min_v
debug('Chossing the mobility model %s' % model)
if(model == 'RandomWalk'): # Random Walk model
mob = random_walk(staMov)
elif(model == 'TruncatedLevyWalk'): # Truncated Levy Walk model
mob = truncated_levy_walk(staMov)
elif(model == 'RandomDirection'): # Random Direction model
mob = random_direction(staMov, dimensions=(MAX_X, MAX_Y))
elif(model == 'RandomWayPoint'): # Random Waypoint model
mob = random_waypoint(staMov, wt_max=MAX_WT)
elif(model == 'GaussMarkov'): # Gauss-Markov model
mob = gauss_markov(staMov, alpha=0.99)
elif(model == 'ReferencePoint'): # Reference Point Group model
mob = reference_point_group(staMov, dimensions=(MAX_X, MAX_Y), aggregation=0.5)
elif(model == 'TimeVariantCommunity'): # Time-variant Community Mobility Model
mob = tvc(staMov, dimensions=(MAX_X, MAX_Y), aggregation=[0.5, 0.], epoch=[100, 100])
else:
raise Exception("'Model not defined!")
if self.DRAW:
debug('Enabling Graph...\n')
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
for node in nodes:
self.graphInstantiateNodes(node)
if node not in staMov or 'accessPoint' == node.type:
plot.pltNode[node].set_data(node.params['position'][0], node.params['position'][1])
plot.drawTxt(node)
plot.drawCircle(node)
if node.type == 'accessPoint':
for c in node.connections:
line = plot.plotLine2d([node.connections[c].params['position'][0], node.params['position'][0]], \
[node.connections[c].params['position'][1], node.params['position'][1]], 'b')
plot.plotLine(line)
for xy in mob:
i = 0
for n in range (0, len(nodes)):
node = nodes[n]
if node in staMov:
if 'station' == node.type:
node.params['position'] = xy[i][0], xy[i][1], 0
i += 1
if self.DRAW:
plot.pltNode[node].set_data(xy[:, 0], xy[:, 1])
plot.drawTxt(node)
plot.drawCircle(node)
if self.DRAW:
plot.graphPause()
plot.graphUpdate(node)
def models(self, nodes=None, model=None, max_x=None, max_y=None, min_v=None,
max_v=None, seed=None, staMov=None, **mobilityparam):
self.modelName = model
np.random.seed(seed)
# number of nodes
nr_nodes = staMov
# simulation area (units)
MAX_X, MAX_Y = max_x, max_y
# max and min velocity
MIN_V, MAX_V = min_v, max_v
# max waiting time
MAX_WT = 100.
if(self.modelName=='RandomWalk'): ## Random Walk model
mob = random_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
elif(self.modelName=='TruncatedLevyWalk'): ## Truncated Levy Walk model
mob = truncated_levy_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
elif(self.modelName=='RandomDirection'): ## Random Direction model
mob = random_direction(nr_nodes, dimensions=(MAX_X, MAX_Y), velocity=(MIN_V, MAX_V))
elif(self.modelName=='RandomWayPoint'): ## Random Waypoint model
mob = random_waypoint(nr_nodes, dimensions=(MAX_X, MAX_Y), velocity=(MIN_V, MAX_V), wt_max=MAX_WT)
elif(self.modelName=='GaussMarkov'): ## Gauss-Markov model
mob = gauss_markov(nr_nodes, dimensions=(MAX_X, MAX_Y), alpha=0.99)
elif(self.modelName=='ReferencePoint'): ## Reference Point Group model
mob = reference_point_group(nr_nodes, dimensions=(MAX_X, MAX_Y), aggregation=0.5)
elif(self.modelName=='TimeVariantCommunity'): ## Time-variant Community Mobility Model
mob = tvc(nr_nodes, dimensions=(MAX_X, MAX_Y), aggregation=[0.5,0.], epoch=[100,100])
else:
print 'Model not defined!'
if self.DRAW:
debug('Enabling Graph...\n')
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
for node in nodes:
self.graphInstantiateNodes(node)
if node not in staMov or 'accessPoint' == node.type:
plot.pltNode[node].set_data(node.params['position'][0],node.params['position'][1])
plot.drawTxt(node)
plot.drawCircle(node)
if node.type == 'accessPoint':
for c in node.connections:
line = plot.plotLine2d([node.connections[c].params['position'][0],node.params['position'][0]], \
[node.connections[c].params['position'][1],node.params['position'][1]], 'b')
plot.plotLine(line)
#Sometimes getting the error: Failed to connect to generic netlink.
try:
if model!='':
for xy in mob:
i = 0
for n in range (0,len(nodes)):
node = nodes[n]
if node in staMov:
if 'station' == node.type:
node.params['position'] = xy[i][0], xy[i][1], 0
i += 1
if self.DRAW:
plot.pltNode[node].set_data(xy[:,0],xy[:,1])
plot.drawTxt(node)
plot.drawCircle(node)
if self.DRAW:
plt.title("Mininet-WiFi Graph")
plt.draw()
except:
pass