def moveNodeTo(cls, sta, pos):
x = pos[0]
y = pos[1]
sta.params['position'] = x, y, 0
# mobility.getAPsInRange(sta)
if Mininet_wifi.DRAW:
try:
plot2d.graphUpdate(sta)
except:
pass
def moveNodeTo(cls, sta, ap, dist, ang):
x = float('%.2f' % (dist * cos(ang) + int(ap.params['position'][0])))
y = float('%.2f' % (dist * sin(ang) + int(ap.params['position'][1])))
sta.params['position'] = x, y, 0
mobility.configLinks(sta)
if Mininet_wifi.DRAW:
try:
plot2d.graphUpdate(sta)
except:
pass
def simulate_car_movement(self, cars, baseStations, scatter, com_lines,
mobility):
# temporal variables
points = [[], []]
scatter.remove()
nodes = cars + baseStations
while com_lines:
com_lines[0].remove()
del com_lines[0]
# iterate over each car
for car in cars:
# get all the properties of the car
velocity = round(np.random.uniform(car.speed[0], car.speed[1]))
position_x = car.properties[0]
position_y = car.properties[1]
car.params['position'] = position_x, position_y, 0
angle = car.properties[2]
# calculate new position of the car
position_x = position_x + velocity * cos(
angle) * self.time_per_iteration
position_y = position_y + velocity * sin(
angle) * self.time_per_iteration
if (position_x < car.properties[3] or position_x > car.properties[4]) \
or (position_y < car.properties[5] or position_y > car.properties[6]):
self.repeat(car)
points[0].append(car.initial[0])
points[1].append(car.initial[1])
else:
car.properties[0] = position_x
car.properties[1] = position_y
points[0].append(position_x)
points[1].append(position_y)
for node in nodes:
if nodes == car:
continue
else:
# compute to see if vehicle is in range
inside = math.pow((node.properties[0] - position_x), 2) + \
math.pow((node.properties[1] - position_y), 2)
if inside <= math.pow(node.params['range'][0], 2):
if isinstance(node, AP):
color = 'black'
else:
color = 'r'
line = plot2d.plotLine2d(
[position_x, node.properties[0]],
[position_y, node.properties[1]],
color=color)
com_lines.append(line)
plot2d.plotLine(line)
plot2d.graphUpdate(car)
eval(mobility.continuePlot)
scatter = plot2d.plotScatter(points[0], points[1])
plot2d.plotDraw()
return [scatter, com_lines]