muL = 1.0 * B / (tmp * 8)
for a in lambAI:
for b in lambBI:
for k in K:
for r in muR:
Wk = 0
loss_probability_all = 0
loss_probability_nodes = 0
loss_probability_links = 0
average_delay = 0
trans_band = 0
for i in range(1, 4):
env = simpy.Environment()
txA = pkt_Sender(env, 'A', a, 'I')
txB = pkt_Sender(env, 'B', b, 'I')
rxI = pkt_Receiver(env, 'I')
node1 = Node(env, 'N1', r, k)
node2 = Node(env, 'N2', r, k)
node3 = Node(env, 'N3', r, k)
node4 = Node(env, 'N4', r, k)
link13 = Link(env, 'L1-3', B, k)
link23 = Link(env, 'L2-3', B, k)
link34 = Link(env, 'L3-4', B, k)
link4I = Link(env, 'L4-I', B, k)
txA.out = node1
loss_probability_nodes = 0
loss_probability_all = 0
loss_probability_links = 0
average_delay = 0
average_delayIA = 0
average_delayIB = 0
trans_band = 0
trans_bandIB = 0
trans_bandIA = 0
Wk = 0
WkIA = 0
WkIB = 0
for i in range(1, 4):
env = simpy.Environment()
txA = pkt_Sender(env, 'A', ai, 'I')
txB = pkt_Sender(env, 'B', bi, 'I')
txIA = pkt_Sender(env, 'I', ia, 'A')
txIB = pkt_Sender(env, 'I', ib, 'B')
rxI = pkt_Receiver(env, 'I')
rxA = pkt_Receiver(env, 'A')
rxB = pkt_Receiver(env, 'B')
node1 = Node(env, 'N1', r, k)
node2 = Node(env, 'N2', r, k)
node3 = Node(env, 'N3', r, k)
node4 = Node(env, 'N4', r, k)
link13 = Link(env, 'L1-3', B, k)
link23 = Link(env, 'L2-3', B, k)
muL = 1.0 * B / (tmp * 8)
for a in lambAI:
for b in lambBI:
for k in K:
for r in muR:
Wk = 0
loss_probability_all = 0
loss_probability_nodes = 0
loss_probability_links = 0
average_delay = 0
trans_band = 0
for i in range(1, 4):
env = simpy.Environment()
txA = pkt_Sender(env, 'A', a, 'I')
txB = pkt_Sender(env, 'B', b, 'I')
rxI = pkt_Receiver(env, 'I')
node1 = Node(env, 'N1', r, k)
node2 = Node(env, 'N2', r, k)
node3 = Node(env, 'N3', r, k)
node4 = Node(env, 'N4', r, k)
link13 = Link(env, 'L1-3', B, k)
link23 = Link(env, 'L2-3', B, k)
link34 = Link(env, 'L3-4', B, k)
link4I = Link(env, 'L4-I', B, k)
txA.out = node1
tmp = 782 # 0.5*1500+0.5*64 bytes em media
mu = 1.0*B/(tmp*8)
array = []
for lam in lamb:
for k in K:
Wk = 0
loss_probability = 0
average_delay = 0
trans_band = 0
for i in range(1, 4):
env = simpy.Environment()
rx = pkt_Receiver(env, 'B')
tx = pkt_Sender(env, 'A', lam, 'B')
node1 = Node(env, 'N1', np.inf)
node2 = Node(env, 'N2', np.inf)
link1 = Link(env, 'L1', B, k)
link2 = Link(env, 'L2', B, k)
tx.out = node1
node1.add_conn(link1, 'B')
link1.out = node2
node2.add_conn(link2, 'B')
link2.out = rx
if k == 10000:
simtime = 500
else:
simtime = 30
loss_probability_nodes = 0
loss_probability_all = 0
loss_probability_links = 0
average_delay = 0
average_delayIA = 0
average_delayIB = 0
trans_band = 0
trans_bandIB = 0
trans_bandIA = 0
Wk = 0
WkIA = 0
WkIB = 0
for i in range(1, 4):
env = simpy.Environment()
txA = pkt_Sender(env, 'A', ai, 'I')
txB = pkt_Sender(env, 'B', bi, 'I')
txIA = pkt_Sender(env, 'I', ia, 'A')
txIB = pkt_Sender(env, 'I', ib, 'B')
rxI = pkt_Receiver(env, 'I')
rxA = pkt_Receiver(env, 'A')
rxB = pkt_Receiver(env, 'B')
node1 = Node(env, 'N1', r, k)
node2 = Node(env, 'N2', r, k)
node3 = Node(env, 'N3', r, k)
node4 = Node(env, 'N4', r, k)
link13 = Link(env, 'L1-3', B, k)
link23 = Link(env, 'L2-3', B, k)
