sp.savetxt(get_path(folder, "stats-%s.csv" %n),
message_stats,
delimiter=",", fmt="%8s", comments='',
header="Node,transmit,transmit_failed_power,"
"received,received_failed_power,"
"received_failed_loss")
# plotting results
#print len(snr_base)
lqi_base = 6 * np.array(snr_base) + 538
#print lqi_base
plotter.plots(np.arange(len(snr_base[1:])), snr_base[1:],
get_path(folder, "SNR_Base_Station-%s" % n),
title="SNR levels",format='png',
xlabel="Packet Number", ylabel="SNR")
plotter.plots(np.arange(len(snr_base[1:])), lqi_base[1:],
get_path(folder, "LQI_Base_Station-%s" % n),
title="LQI's",format='png',
xlabel="Packet Number", ylabel="LQI")
plotter.plot_bars(np.arange(1, n+1), consume,
get_path(folder, "energy consumption-", prefix=n),
ymax=1.1*max(consume),
ymin=0.9*min(consume),format='png',
title="Energy Consumption (%s nodes)" % n,
xlabel="Nodes", ylabel="mJ")
plotter.plot_bars(np.arange(1, n+1), loss,
get_path(folder, "Loss Packets-", prefix=n),
message_stats,
delimiter=",",
fmt="%8s",
comments='',
header="Node,transmit,transmit_failed_power,"
"received,received_failed_power,"
"received_failed_loss")
# plotting results
#print len(snr_base)
lqi_base = 6 * np.array(snr_base) + 538
#print lqi_base
plotter.plots(np.arange(len(snr_base[1:])),
snr_base[1:],
get_path(folder, "SNR_Base_Station-%s" % n),
title=net.name + "\nSNR levels (Base Station)",
format='png',
xlabel="Packet Number",
ylabel="SNR")
# plotter.plots(np.arange(len(snr_base[1:])), lqi_base[1:],
# get_path(folder, "LQI_Base_Station-%s" % n),
# title="LQI's", format='png',
# xlabel="Packet Number", ylabel="LQI")
plotter.plot_bars(np.arange(1, n + 1),
consume,
get_path(folder, "Energy Consumption-", prefix=n),
ymax=1.1 * max(consume),
ymin=0.9 * min(consume),
title=net.name + "\nEnergy Consumption (%s nodes)" % n,
sp.savetxt(get_path(folder, "%s-%s.csv" % (experiment, filename)),
loc_err,
delimiter=",",
fmt="%8.2f",
comments='',
header=vary_name +
' Anc% Localized Not runtime |err>R| '
'avg_err max_err std_err TX Rx SNR Energy',
footer=net.name + "\n" + comments)
plotter.plots(vary_range, [e[4] * k for e in loc_err],
get_path(folder, experiment + " " + filename),
more_plots=[[e[6] * k for e in loc_err], [e[9] for e in loc_err],
[e[10] for e in loc_err], [e[12] for e in loc_err]],
labels=[
"Runtime", "$f_1$ - Avg. Loc. Error", "$f_2$ - No. of Tx",
"Rx", "Energy"
],
title=experiment + "\n" + filename,
xlabel=vary_name,
ylabel="",
format='pdf')
plotter.gethtmlLine(
vary_range, [[e[4] for e in loc_err], [e[6] for e in loc_err],
[e[9] for e in loc_err], [e[12] for e in loc_err]],
fname=experiment + " " + filename,
folder=folder,
xlabel=vary_name,
ylabel="",
labels=['Runtime', 'Avg. Local. Error', 'No. of Tx', 'Energy'],
title=experiment + "<br>" + filename,
if len(recovered_nodes) > 1:
#print recovered_nodes
sp.savetxt(get_path(DATETIME_DIR, "energy_level-%s.csv" % n),
zip(recovered_nodes[0][1], recovered_nodes[1][1]),
header="%s\t%s" %
(recovered_nodes[0][0], recovered_nodes[1][0]),
delimiter="\t",
fmt="%s",
comments='')
plotter.plots(np.arange(len(recovered_nodes[0][1])),
recovered_nodes[0][1],
get_path(DATETIME_DIR, "energy_level-%s" % n),
more_plots=[recovered_nodes[1][1]],
title="Energy Level change",
xlabel="Time",
ylabel="Energy (Joules)",
labels=[
"Node %s" % recovered_nodes[0][0],
"Node %s" % recovered_nodes[1][0]
])
# plotting results
#print len(snr_base)
lqi_base = 6 * np.array(snr_base) + 538
#print lqi_base
plotter.plots(np.arange(len(snr_base[1:])),
snr_base[1:],
get_path(DATETIME_DIR, "SNR_Base_Station-%s" % n),
title="SNR levels",
xlabel="Time",
k=0
err_sum=0.0
for node in net.nodes():
if node.type == 'N' and 'pos' in node.memory:
act = node.get_dic()['Info']['position']
est = node.memory['pos']
err = sqrt(sum(pow(act - est, 2)))
print node.id, node.type, act, est, err
err_sum += err
k += 1
print ("%s nodes localized, Avg error: %s m" % (k, err_sum))
sim.reset()
'''
'''
for nd in net.nodes():
print nd.id, "Registrations: %s" % nd.memory.get("Registration", []), \
"\n\rData: %s" % nd.memory, \
"\n\rEnergy: %s" % nd.power.energy_consumption
t_transmit += nd.n_transmitted
t_transmit_failed += nd.n_transmitted_failed_power
message_stats.append((nd.id, nd.n_transmitted,
nd.n_transmitted_failed_power,
nd.n_received,
nd.n_received_failed_power,
nd.n_received_failed_loss
))
consume.append(nd.power.energy_consumption * 1000.0)
print "mean=" + str(np.mean(message_stats, axis=0))
print "Position max=" + str(np.amax(position_stats, axis=0))
try:
X2 = np.sort([col[3] / comm_range for col in position_stats])
F2 = np.array(range(k)) / float(k)
H, X1 = np.histogram([col[3] for col in position_stats],
bins=20,
normed=True)
dx = X1[1] - X1[0]
F1 = np.cumsum(H) * dx
print X2.__len__(), F2.__len__(), F1.__len__()
plotter.plots(X1[1:] / comm_range,
F1,
get_path(DATETIME_DIR, "Error CDF-%d" % nn),
title="CDF-" + net.name,
xlabel="Normalized Localization error",
ylabel="CDF")
plotter.plots(X2,
F2,
get_path(DATETIME_DIR, "Error CDF2-%d" % nn),
title="CDF-" + net.name,
xlabel="Normalized Localization error",
ylabel="CDF")
except Exception as exc:
print exc
pass
sim.reset()
# plot_options=["color: 'red',", "color: 'blue',", "type: 'areaspline', color: 'grey', visible: false,"])
sr += 1
print loc_err
sp.savetxt(get_path(folder, "%s-%s.csv" % (experiment, filename)),
loc_err,
delimiter=",", fmt="%8.2f", comments='',
header=vary_name + ' Anc% Localized Not runtime |err>R| '
'avg_err max_err std_err TX Rx SNR Energy',
footer=net.name + "\n" + comments)
plotter.plots(vary_range, [e[4] * k for e in loc_err],
get_path(folder, experiment + " " + filename),
more_plots=[[e[6] * k for e in loc_err],
[e[9] for e in loc_err],
[e[10] for e in loc_err],
[e[12] for e in loc_err]],
labels=["Runtime", "$f_1$ - Avg. Loc. Error", "$f_2$ - No. of Tx", "Rx", "Energy"],
title=experiment + "\n" + filename,
xlabel=vary_name, ylabel="", format='pdf')
plotter.gethtmlLine(vary_range, [[e[4] for e in loc_err],
[e[6] for e in loc_err],
[e[9] for e in loc_err],
[e[12] for e in loc_err]],
fname=experiment + " " + filename, folder=folder,
xlabel=vary_name, ylabel="", labels=['Runtime', 'Avg. Local. Error', 'No. of Tx', 'Energy'],
title=experiment + "<br>" + filename, open=1,
plot_options=["color: 'cyan',", "color: 'blue',", "color: 'red',", "color: 'green',"])
if len(recovered_nodes) > 1:
#print recovered_nodes
sp.savetxt(get_path(DATETIME_DIR, "energy_level-%s.csv" % n),
zip(recovered_nodes[0][1], recovered_nodes[1][1]),
header="%s\t%s" %
(recovered_nodes[0][0], recovered_nodes[1][0]),
delimiter="\t",
fmt="%s",
comments='')
plotter.plots(np.arange(len(recovered_nodes[0][1])),
recovered_nodes[0][1],
get_path(DATETIME_DIR, "energy_level-%s" % n),
more_plots=[recovered_nodes[1][1]],
title="Energy Level change",
xlabel="Time",
ylabel="Energy (Joules)",
labels=[
"Node %s" % recovered_nodes[0][0],
"Node %s" % recovered_nodes[1][0]
])
# plotting results
plotter.plot_bars(np.arange(1, n + 1)[1:],
consume[1:],
get_path(DATETIME_DIR, "energy consumption-", prefix=n),
ymax=1.1 * max(consume[1:]),
ymin=0.9 * min(consume[1:]),
title="Energy Consumption (%s nodes)" % n,
xlabel="Nodes",
ylabel="mJ")
net.nodes()[0].memory['tp']
k=0
err_sum=0.0
for node in net.nodes():
if node.type == 'N' and 'pos' in node.memory:
act = node.get_dic()['Info']['position']
est = node.memory['pos']
err = sqrt(sum(pow(act - est, 2)))
print node.id, node.type, act, est, err
err_sum += err
k += 1
print ("%s nodes localized, Avg error: %s m" % (k, err_sum))
sim.reset()
'''
'''
for nd in net.nodes():
print nd.id, "Registrations: %s" % nd.memory.get("Registration", []), \
"\n\rData: %s" % nd.memory, \
"\n\rEnergy: %s" % nd.power.energy_consumption
t_transmit += nd.n_transmitted
t_transmit_failed += nd.n_transmitted_failed_power
message_stats.append((nd.id, nd.n_transmitted,
nd.n_transmitted_failed_power,
nd.n_received,
nd.n_received_failed_power,
nd.n_received_failed_loss
))
consume.append(nd.power.energy_consumption * 1000.0)
sp.savetxt(get_path(folder, "stats-%s.csv" %n),
message_stats,
delimiter=",", fmt="%8s", comments='',
header="Node,transmit,transmit_failed_power,"
"received,received_failed_power,"
"received_failed_loss")
# plotting results
#print len(snr_base)
lqi_base = 6 * np.array(snr_base) + 538
#print lqi_base
plotter.plots(np.arange(len(snr_base[1:])), snr_base[1:],
get_path(folder, "SNR_Base_Station-%s" % n),
title="SNR levels (Base Station)",format='png',
xlabel="Packet Number", ylabel="SNR")
# plotter.plots(np.arange(len(snr_base[1:])), lqi_base[1:],
# get_path(folder, "LQI_Base_Station-%s" % n),
# title="LQI's", format='png',
# xlabel="Packet Number", ylabel="LQI")
plotter.plot_bars(np.arange(1, n+1), consume,
get_path(folder, "Energy Consumption-", prefix=n),
ymax=1.1*max(consume),
ymin=0.9*min(consume),
title="Energy Consumption (%s nodes)" % n,
xlabel="Nodes", ylabel="mJ", format='png')
plotter.plot_bars(np.arange(1, n+1), loss,
print ("%s nodes localized, %s" % (k, comments))
print "max=" + str(np.amax(message_stats, axis=0))
print "std=" + str(np.std(message_stats, axis=0))
print "mean=" + str(np.mean(message_stats, axis=0))
print "Position max=" + str(np.amax(position_stats, axis=0))
try:
X2 = np.sort([col[3]/comm_range for col in position_stats])
F2 = np.array(range(k))/float(k)
H, X1 = np.histogram([col[3] for col in position_stats], bins=20, normed=True)
dx = X1[1] - X1[0]
F1 = np.cumsum(H)*dx
print X2.__len__(), F2.__len__(), F1.__len__()
plotter.plots(X1[1:]/comm_range,F1,get_path(DATETIME_DIR, "Error CDF-%d" % nn),
title="CDF-"+net.name, xlabel="Normalized Localization error",
ylabel="CDF")
plotter.plots(X2,F2,get_path(DATETIME_DIR, "Error CDF2-%d" % nn),
title="CDF-"+net.name, xlabel="Normalized Localization error",
ylabel="CDF")
except Exception as exc:
print exc
pass
sim.reset()
# Create CSV, plots and interactive html/JS charts based on collected data
# np.savetxt(get_path(DATETIME_DIR, "message_stats-%s.csv" % nn),
# message_stats,
sp.savetxt(get_path(DATETIME_DIR, "distances-%s.csv" %n),
distances,
delimiter="\t", fmt="%7.1f", comments='',
header="Node\tdistance(m)\tdbm\tdisplacement")
if len(recovered_nodes) > 1:
#print recovered_nodes
sp.savetxt(get_path(DATETIME_DIR, "energy_level-%s.csv" % n),
zip(recovered_nodes[0][1], recovered_nodes[1][1]),
header="%s\t%s" %(recovered_nodes[0][0],
recovered_nodes[1][0]),
delimiter="\t", fmt="%s", comments='')
plotter.plots(np.arange(len(recovered_nodes[0][1])),
recovered_nodes[0][1],
get_path(DATETIME_DIR, "energy_level-%s" % n),
more_plots=[recovered_nodes[1][1]],
title="Energy Level change",
xlabel="Time", ylabel="Energy (Joules)",
labels=["Node %s" % recovered_nodes[0][0],
"Node %s" % recovered_nodes[1][0]])
# plotting results
plotter.plot_bars(np.arange(1, n+1)[1:], consume[1:],
get_path(DATETIME_DIR, "energy consumption-", prefix=n),
ymax=1.1*max(consume[1:]),
ymin=0.9*min(consume[1:]),
title="Energy Consumption (%s nodes)" %n,
xlabel="Nodes", ylabel="mJ")
plotter.plot_bars(np.arange(1, n+1), displacement,
get_path(DATETIME_DIR, "Node movement-", prefix=n),
ymax=1.05*max(displacement),
print("Execution time: %s seconds ---" % round(end_time,2) )
print net_gen.name
sp.savetxt(get_path(folder, "Energy Consumption.csv"),
n_power,
delimiter="\t", fmt="%s",
header="Nodes\tEnergy(m^2)\tefficeincy",
comments='')
# plotter.plots(n_range, [e[1]/10e6 for e in n_power],
# get_path(folder, "Energy"),
# title="Energy Consumption",
# more_plots=[[e[3]/10e6 for e in n_power], [e[6]/10e6 for e in n_power]],
# labels=["Edat","Ereq(0.2)","Ereq(0.8)"],
# xlabel="Number of nodes", ylabel="Energy ($10^6 m^2$)")
print np.array(list(energy[0,:]))
print n_range
plotter.plots(n_range, np.array(energy[0,:]/1e6),
get_path(folder, "Energy"),
title="Energy Consumption",
more_plots=[np.array(energy[1,:])/1e6],
labels=["Edat (new EM)","Edat (EM)"],
xlabel="Number of nodes", ylabel="Energy ($10^6 m^2$)")
plotter.plots(n_range, np.array(eff[0,:]/1e-4),
get_path(folder, "Efficiency"),
more_plots=[np.array(eff[1,:])/1e-4],
title="Efficiency",
labels=["Efficeincy (new EM)","Efficeincy (EM)"],
xlabel="Number of Nodes", ylabel="Efficiency ($10^{-4}$)")