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
nodes = self.staList + self.apList
dic = dict()
dic['max_x'] = self.MAX_X
dic['max_y'] = self.MAX_Y
if self.DRAW == True:
plot.instantiateGraph(self.MAX_X, self.MAX_Y)
plot.plotGraph(nodes, mobility.wallList, staMov, **dic)
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
except:
print 'Error! Mobility stopped!'
def __init__(self, mininet, stdin=sys.stdin, script=None):
"""Start and run interactive or batch mode CLI
mininet: Mininet network object
stdin: standard input for CLI
script: script to run in batch mode"""
if mobility.isMobility == False and mobility.DRAW:
nodes = mobility.staList + mobility.apList
plot.instantiateGraph(mobility.MAX_X, mobility.MAX_Y)
plot.plotGraph(nodes, mobility.wallList, mobility.staMov, **mobility.dic)
plot.graphPause()
self.mn = mininet
# Local variable bindings for py command
self.locals = { 'net': mininet }
# Attempt to handle input
self.stdin = stdin
self.inPoller = poll()
self.inPoller.register(stdin)
self.inputFile = script
Cmd.__init__(self)
info('*** Starting CLI:\n')
if self.inputFile:
self.do_source(self.inputFile)
return
self.initReadline()
self.run()
def positionDefined(self,
init_time=0,
final_time=0,
stations=None,
aps=None,
walls=None,
staMov=None,
dstConn=None,
srcConn=None,
plotnodes=None,
MAX_X=0,
MAX_Y=0):
""" ongoing Mobility """
t_end = time.time() + final_time
t_initial = time.time() + init_time
currentTime = time.time()
i = 1
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
if self.DRAW == True:
plot.instantiateGraph(MAX_X, MAX_Y)
plot.plotGraph(nodes, self.wallList, staMov, srcConn, dstConn,
**dic)
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
except:
info('Error! Mobility stopped!\n')
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:
plot.graphPause()
plot.graphUpdate(sta)
i += 1
except:
print 'Error! Mobility stopped!'
def __init__(self, mininet, stdin=sys.stdin, script=None):
"""Start and run interactive or batch mode CLI
mininet: Mininet network object
stdin: standard input for CLI
script: script to run in batch mode"""
if mobility.isMobility == False and mobility.DRAW:
staMov = []
for sta in mobility.staList:
if 'position' not in sta.params:
staMov.append(sta)
sta.params['position'] = 0,0,0
if mobility.apList == []:
mobility.apList = mininet.accessPoints
if mobility.staList == []:
mobility.staList = mininet.stations
nodes = mininet.stations + mininet.accessPoints
plot.instantiateGraph(mininet.MAX_X, mininet.MAX_Y)
plot.plotGraph(nodes, mininet.walls, staMov, **mobility.dic)
plot.graphPause()
self.mn = mininet
# Local variable bindings for py command
self.locals = { 'net': mininet }
# Attempt to handle input
self.stdin = stdin
self.inPoller = poll()
self.inPoller.register(stdin)
self.inputFile = script
Cmd.__init__(self)
info('*** Starting CLI:\n')
if self.inputFile:
self.do_source(self.inputFile)
return
self.initReadline()
self.run()
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 = 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.
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(self.modelName == 'RandomWalk'): # # Random Walk model
mob = random_walk(nr_nodes)
elif(self.modelName == 'TruncatedLevyWalk'): # # Truncated Levy Walk model
mob = truncated_levy_walk(nr_nodes)
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, 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:
plot.graphPause()
plot.graphUpdate(node)
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)