tmp = 782 # 0.5*1500+0.5*64 bytes em media
array_node1 = []
array_node2 = []
for K in K_arr:
print Fore.BLUE + Style.BRIGHT + "NODE 1" + Style.RESET_ALL
env = simpy.Environment()
B = 2e6
# Sender (tx) -> Node1 -> Link -> Receiver (rx)
rx = pkt_Receiver(env, 'B')
tx = pkt_Sender(env, 'A', 'B', time_packets)
node1 = Node(env, 'N1', np.inf)
link = Link(env, 'L', B, K)
tx.out = node1
node1.add_conn(link, 'B')
link.out = rx
env.run()
print((Fore.LIGHTBLUE_EX + "Loss probability:" + Fore.GREEN + " %.2f%%" + Style.RESET_ALL) % round((100.0 * (tx.packets_sent-rx.packets_recv) / tx.packets_sent), 5))
print((Fore.LIGHTBLUE_EX + 'Average delay:' + Fore.GREEN + ' %f sec' + Style.RESET_ALL) % round((1.0 * rx.overalldelay / rx.packets_recv), 5))
print((Fore.LIGHTBLUE_EX + 'Transmitted bandwidth:' + Fore.GREEN + ' %.1f Bytes/sec' + Style.RESET_ALL) % round((1.0 * rx.overallbytes / simtime), 5))
mu = B * 1.0 / (tmp * 8)
Wmm1 = 1.0 / (mu - lamb)
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
txB.out = node2
node1.add_conn(link13, 'I')
node2.add_conn(link23, 'I')
node3.add_conn(link34, 'I')
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
env.run(simtime)
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)
link34 = Link(env, 'L3-4', B, k)
link4I = Link(env, 'L4-I', B, k)
link31 = Link(env, 'L3-1', B, k)
link32 = Link(env, 'L3-2', B, k)
link43 = Link(env, 'L4-3', B, k)
link1A = Link(env, 'L1-A', B, k)
link2B = Link(env, 'L2-B', B, 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
txB.out = node2
node1.add_conn(link13, 'I')
node2.add_conn(link23, 'I')
node3.add_conn(link34, 'I')
mu = 350
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', 350, k)
node2 = Node(env, 'N2', 350, k)
link1 = Link(env, 'L1', B, np.inf)
link2 = Link(env, 'L2', B, np.inf)
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
env.run(simtime)
for lam in lamb:
for k in K:
Wmm1 = 0
Wmd1 = 0
Wmg1 = 0
Wmmk = 0
pb = 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')
node2 = Node(env, 'N1', 350, k)
link = Link(env, 'L', B, np.inf)
tx.out = node2
node2.add_conn(link, 'B')
link.out = rx
if k == 10000:
simtime = 500
else:
simtime = 30
env.run(simtime)
loss_probability += 100.0 * (tx.packets_sent -
rx.packets_recv) / tx.packets_sent
average_delay += 1.0 * rx.overalldelay / rx.packets_recv
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', 300, k)
link1 = Link(env, 'L1', B, k)
tx.out = node1
node1.add_conn(link1, 'B')
link1.out = rx
if k == 10000:
simtime = 500
else:
simtime = 30
env.run(simtime)
loss_probability += 100.0 * (tx.packets_sent -
rx.packets_recv) / tx.packets_sent
tmp = 782 # 0.5*1500+0.5*64 bytes em media
array_node1 = []
array_node2 = []
for K in K_arr:
print Fore.BLUE + Style.BRIGHT + "NODE 1" + Style.RESET_ALL
env = simpy.Environment()
B = 2e6
# Sender (tx) -> Node1 -> Link -> Receiver (rx)
rx = pkt_Receiver(env, 'B')
tx = pkt_Sender(env, 'A', 'B', time_packets)
node1 = Node(env, 'N1', np.inf)
link = Link(env, 'L', B, K)
tx.out = node1
node1.add_conn(link, 'B')
link.out = rx
env.run()
print((Fore.LIGHTBLUE_EX + "Loss probability:" + Fore.GREEN +
" %.2f%%" + Style.RESET_ALL) % round(
(100.0 *
(tx.packets_sent - rx.packets_recv) / tx.packets_sent), 5))
print((Fore.LIGHTBLUE_EX + 'Average delay:' + Fore.GREEN + ' %f sec' +
Style.RESET_ALL) % round(
(1.0 * rx.overalldelay / rx.packets_recv), 5))