def simulate_car_movement(self, scatter, com_lines):
# temporal variables
points = [[], []]
scatter.remove()
nodes = dict(self.cars.items() + self.bss.items())
# print initial
while com_lines:
com_lines[0].remove()
del(com_lines[0])
# iterate over each car
for car in self.cars:
# get all the properties of the car
velocity = round(np.random.uniform(self.velo[car][0], self.velo[car][1]))
position_x = self.cars[car][0]
position_y = self.cars[car][1]
car.params['position'] = position_x, position_y, 0
angle = self.cars[car][2]
# calculate new position of the car
position_x = position_x + velocity * cos(angle) * self.time_per_iteraiton
position_y = position_y + velocity * sin(angle) * self.time_per_iteraiton
# check if car gets out of the line
# no need to check for y coordinates as car follows the line
if position_x < self.cars[car][3] or position_x > self.cars[car][4]:
self.repeat(car)
points[0].append(self.initial[car][0])
points[1].append(self.initial[car][1])
else:
self.cars[car][0] = position_x
self.cars[car][1] = position_y
points[0].append(position_x)
points[1].append(position_y)
for node in nodes:
if nodes[node] == nodes[car]:
continue
else:
# compute to see if vehicle is in range
inside = math.pow((nodes[node][0] - position_x), 2) + math.pow((nodes[node][1] - position_y), 2)
if inside <= math.pow(node.params['range'] + 30, 2):
line = plot.plotLine2d([position_x, nodes[node][0]], [position_y, nodes[node][1]], color='r')
com_lines.append(line)
plot.plotLine(line)
plot.drawTxt(car)
plot.drawCircle(car)
scatter = plot.plotScatter(points[0], points[1])
plot.plotDraw()
return [scatter, com_lines]
def simulate_car_movement(self,scatter,com_lines):
#temporal variables
points= [[],[]]
scatter.remove()
nodes = dict(self.cars.items() + self.bss.items())
#print initial
while com_lines:
com_lines[0].remove()
del(com_lines[0])
#iterate over each car
for car in self.cars:
#get all the properties of the car
velocity = round(np.random.uniform(self.velo[car][0],self.velo[car][1]))
position_x = self.cars[car][0]
position_y = self.cars[car][1]
car.params['position'] = position_x, position_y, 0
angle = self.cars[car][2]
#calculate new position of the car
position_x = position_x + velocity*cos(angle)*self.time_per_iteraiton
position_y = position_y + velocity*sin(angle)*self.time_per_iteraiton
#check if car gets out of the line
# no need to check for y coordinates as car follows the line
if position_x < self.cars[car][3] or position_x> self.cars[car][4]:
self.repeat(car)
points[0].append(self.initial[car][0])
points[1].append(self.initial[car][1])
else:
self.cars[car][0] = position_x
self.cars[car][1] = position_y
points[0].append(position_x)
points[1].append(position_y)
for node in nodes:
if nodes[node] == nodes[car]:
continue
else:
#compute to see if vehicle is in range
inside = math.pow((nodes[node][0]-position_x),2) + math.pow((nodes[node][1]-position_y),2)
if inside <= math.pow(node.range+30,2):
line = plot.plotLine2d([position_x,nodes[node][0]],[position_y,nodes[node][1]], color='r')
com_lines.append(line)
plot.plotLine(line)
plot.drawTxt(car)
plot.drawCircle(car)
scatter = plot.plotScatter(points[0],points[1])
plot.plotDraw()
return [scatter,com_lines]
def display_grid(self, baseStations, nroads):
for n in range(0, nroads):
if n == 0:
p = ginp(2)
self.points[n] = p
self.all_points = p
else:
p = ginp(1)
self.points[n] = p
self.all_points.append(p[0])
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
if n == 0:
self.points[n] = self.get_line(
int(x1[0]), int(y1[0]), int(x1[1]),
int(y1[1])) # Get all the points in the line
else:
self.points[n] = self.get_line(
int(self.all_points[n][0]), int(self.all_points[n][1]),
int(p[0][0]),
int(p[0][1])) # Get all the points in the line
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
self.interX[n] = x1
self.interY[n] = y1
self.road[n] = plot.plotLine2d(
x1, y1, color='g'
) # Create a line object with the x y values of the points in a line
plot.plotLine(self.road[n])
#plot.plotDraw()
for i in range(len(baseStations)):
self.bss[baseStations[i]] = ginp(1)[0]
bs_x = self.bss[baseStations[i]][0]
bs_y = self.bss[baseStations[i]][1]
self.scatter = plot.plotScatter(bs_x, bs_y)
baseStations[i].params['position'] = bs_x, bs_y, 0
plot.instantiateAnnotate(baseStations[i])
plot.instantiateCircle(baseStations[i])
plot.drawTxt(baseStations[i])
plot.drawCircle(baseStations[i])
plot.plotDraw()
def mobilityPositionDefined(self, initial_time, final_time, staMov):
""" ongoing Mobility """
t_end = time.time() + final_time
t_initial = time.time() + initial_time
currentTime = time.time()
i = 1
if self.DRAW == True:
debug('Enabling Graph...\n')
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
for sta in self.staList:
self.graphInstantiateNodes(sta)
if sta not in staMov:
plot.pltNode[sta].set_data(sta.params['position'][0], sta.params['position'][1])
plot.drawTxt(sta)
plot.drawCircle(sta)
for ap in mobility.apList:
self.graphInstantiateNodes(ap)
for c in ap.connections:
line = plot.plotLine2d([ap.connections[c].params['position'][0], ap.params['position'][0]], \
[ap.connections[c].params['position'][1], ap.params['position'][1]], 'b')
plot.plotLine(line)
for wall in mobility.wallList:
line = plot.plotLine2d([wall.params['initPos'][0], wall.params['finalPos'][0]], \
[wall.params['initPos'][1], wall.params['finalPos'][1]], 'r', 10)
plot.plotLine(line)
try:
while time.time() < t_end and time.time() > t_initial:
if self.continue_:
if time.time() - currentTime >= i:
for sta in staMov:
if time.time() - currentTime >= sta.startTime and time.time() - currentTime <= sta.endTime:
x = float(sta.params['position'][0]) + float(self.moveFac[sta][0])
y = float(sta.params['position'][1]) + float(self.moveFac[sta][1])
z = float(sta.params['position'][2]) + float(self.moveFac[sta][2])
sta.params['position'] = x, y, z
for wlan in range(0, len(sta.params['wlan'])):
self.nodeParameter(sta, wlan)
if self.DRAW:
plot.graphPause()
plot.graphUpdate(sta)
i+=1
# have to verify this
time.sleep(0.01)
except:
print 'Error! Mobility stopped!'
def mobilityPositionDefined(self, initial_time, final_time, staMov):
""" ongoing Mobility """
t_end = time.time() + final_time
t_initial = time.time() + initial_time
currentTime = time.time()
i=1
if self.DRAW == True:
debug('Enabling Graph...\n')
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
for sta in self.staList:
self.graphInstantiateNodes(sta)
if sta not in staMov:
plot.pltNode[sta].set_data(sta.params['position'][0],sta.params['position'][1])
plot.drawTxt(sta)
plot.drawCircle(sta)
for ap in mobility.apList:
self.graphInstantiateNodes(ap)
for c in ap.connections:
line = plot.plotLine2d([ap.connections[c].params['position'][0],ap.params['position'][0]], \
[ap.connections[c].params['position'][1],ap.params['position'][1]], 'b')
plot.plotLine(line)
for wall in mobility.wallList:
line = plot.plotLine2d([wall.params['initPos'][0],wall.params['finalPos'][0]], \
[wall.params['initPos'][1],wall.params['finalPos'][1]], 'r', 10)
plot.plotLine(line)
try:
while time.time() < t_end and time.time() > t_initial:
if self.continue_:
if time.time() - currentTime >= i:
for sta in staMov:
if time.time() - currentTime >= sta.startTime and time.time() - currentTime <= sta.endTime:
x = float(sta.params['position'][0]) + float(self.moveFac[sta][0])
y = float(sta.params['position'][1]) + float(self.moveFac[sta][1])
z = float(sta.params['position'][2]) + float(self.moveFac[sta][2])
sta.params['position'] = x, y, z
for wlan in range(0, len(sta.params['wlan'])):
self.nodeParameter(sta, wlan)
if self.DRAW:
time.sleep(0.01)
plot.graphUpdate(sta)
i+=1
#have to verify this
time.sleep(0.01)
except:
print 'Error! Mobility stopped!'
def display_grid(self, baseStations, nroads):
for n in range(0, nroads):
if n == 0:
p = ginp(2)
self.points[n] = p
self.all_points = p
else:
p = ginp(1)
self.points[n] = p
self.all_points.append(p[0])
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
if n == 0:
self.points[n] = self.get_line(int(x1[0]),int(y1[0]),int(x1[1]),int(y1[1])) # Get all the points in the line
else:
self.points[n] = self.get_line(int(self.all_points[n][0]),int(self.all_points[n][1]),int(p[0][0]),int(p[0][1])) # Get all the points in the line
x1 = [x[0] for x in self.points[n]]
y1 = [x[1] for x in self.points[n]]
self.interX[n] = x1
self.interY[n] = y1
self.road[n] = plot.plotLine2d(x1,y1, color='g') # Create a line object with the x y values of the points in a line
plot.plotLine(self.road[n])
#plot.plotDraw()
for i in range(len(baseStations)):
self.bss[baseStations[i]] = ginp(1)[0]
bs_x = self.bss[baseStations[i]][0]
bs_y = self.bss[baseStations[i]][1]
self.scatter = plot.plotScatter(bs_x, bs_y)
baseStations[i].params['position'] = bs_x, bs_y, 0
plot.instantiateAnnotate(baseStations[i])
plot.instantiateCircle(baseStations[i])
plot.drawTxt(baseStations[i])
plot.drawCircle(baseStations[i])
plot.plotDraw()
def mobilityPositionDefined(self, initial_time, final_time, staMov):
""" ongoing Mobility """
t_end = time.time() + final_time
t_initial = time.time() + initial_time
currentTime = time.time()
i=1
if emulationEnvironment.DRAW == True:
debug('Enabling Graph...\n')
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
for sta in emulationEnvironment.staList:
self.instatiateNodes(sta)
if sta not in staMov:
plot.pltNode[sta].set_data(sta.position[0],sta.position[1])
plot.drawTxt(sta)
plot.drawCircle(sta)
for ap in emulationEnvironment.apList:
self.instatiateNodes(ap)
for c in ap.connections:
line = plot.plotLine2d([ap.connections[c].position[0],ap.position[0]], \
[ap.connections[c].position[1],ap.position[1]], 'b')
plot.plotLine(line)
try:
while time.time() < t_end and time.time() > t_initial:
if emulationEnvironment.continue_:
if time.time() - currentTime >= i:
for sta in emulationEnvironment.staList:
if time.time() - currentTime >= sta.startTime and time.time() - currentTime <= sta.endTime:
sta.position[0] = float(sta.position[0]) + float(self.moveFac[sta][0])
sta.position[1] = float(sta.position[1]) + float(self.moveFac[sta][1])
sta.position[2] = float(sta.position[2]) + float(self.moveFac[sta][2])
for wlan in range(0, sta.nWlans):
self.nodeParameter(sta, wlan)
if emulationEnvironment.DRAW:
plot.graphUpdate(sta)
i+=1
except:
print 'Error! Mobility stopped!'
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
