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Update eval script

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This commit is contained in:
Patrick Rathje 2022-08-03 13:50:39 +02:00
parent 35cdc712cb
commit e675d61650
5 changed files with 81 additions and 54 deletions
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out/current_per_functionality.pdf Normal file
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out/export_usage_seconds_per_day.pdf Normal file
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out/tek_check.pdf Normal file
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135
scripts/eval.py
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@ -134,17 +134,17 @@ adv_max_consumption = [
# measured_duration
# duration
# repetitions
adv_consumption = sum(list(per_adv_consumption.values())) / len(per_adv_consumption.values())
adv_consumption = sum(list(adv_consumptions)) / len(adv_consumptions)
add_consumption('adv', adv_consumption, 0.004, (24*3600)/0.25)
# SCANNING
scan_consumption = 6.01
scan_consumption_max = 8.71
add_consumption('scan', scan_consumption, 2.015, 24*60)
add_consumption('scan', scan_consumption, 2.015, 24*12)
crypt_duration = 0.01
crypt_duration = 0.22
crypt_consumption_avg = 3.2
crypt_consumption_max = 5.96
@ -175,42 +175,16 @@ tek_check_consumption_max = 4.49
# measure consumption
# extrapolate numbers for more keys!
# We then get keys to check
# 1000, 10000, 100000
def export_adv_consumption():
xs = [per_adv_consumption[0], per_adv_consumption[-4], per_adv_consumption[-8], per_adv_consumption[-16], per_adv_consumption[-20], per_adv_consumption[-40]]
ys = ['0', '-4', '-8', '-16', '-20', '-40']
width = 0.6 # the width of the bars: can also be len(x) sequence
fig, ax = plt.subplots()
ax.set_ylabel('Avg. Advertising Current [µA]')
ax.set_xlabel('TX Power [dBm]')
bars = ax.bar(ys,xs)
ax.bar_label(bars, padding=5, fmt='%.2f')
#ax.set_title('')
#ax.legend() # (loc='upper center', bbox_to_anchor=(0.5, -0.5), ncol=2)
# Adapt the figure size as needed
fig.set_size_inches(3.5, 3.2)
plt.tight_layout()
plt.savefig("../out/adv_consumption.pdf", format="pdf", bbox_inches='tight')
plt.close()
def export_consumption_per_day():
cpd = calculate_consumption_per_day([
IDLE_LABEL, 'adv', 'scan', 'generate_tek', 'derive_tek', 'derive_rpi', 'encrypt_aem'
IDLE_LABEL, 'adv', 'scan', 'daily_crypto'
])
print("export_consumption_per_day")
print(cpd)
print(sum(cpd.values()))
ys = ['Idle', 'Adv.', 'Scan', 'Crypto\n(Daily)']
xs = [cpd[IDLE_LABEL], cpd['adv'], cpd['scan'], cpd['generate_tek']+cpd['derive_tek']+cpd['derive_rpi']+ cpd['encrypt_aem']]
xs = [cpd[IDLE_LABEL], cpd['adv'], cpd['scan'], cpd['daily_crypto']]
fig, ax = plt.subplots()
@ -218,10 +192,14 @@ def export_consumption_per_day():
ax.set_xlabel('Functionality')
bars = ax.bar(ys,xs)
ax.bar_label(bars, padding=5, fmt='%.2f')
xs_labels = ["{:.2f}".format(x) if x >= 0.01 else "<0.01" for x in xs]
ax.bar_label(bars, padding=3, labels=xs_labels)
# Adapt the figure size as needed
fig.set_size_inches(3.5, 3.2)
fig.set_size_inches(3.0, 3.2)
ax.set_ylim([0, 2])
plt.tight_layout()
plt.savefig("../out/weighted_consumption.pdf", format="pdf", bbox_inches='tight')
plt.close()
@ -229,12 +207,14 @@ def export_consumption_per_day():
def export_usage_seconds_per_day():
cpd = calculate_usage_seconds_per_day([
IDLE_LABEL, 'adv', 'scan', 'generate_tek', 'derive_tek', 'derive_rpi', 'encrypt_aem'
IDLE_LABEL, 'adv', 'scan', 'daily_crypto'
])
print("export_usage_seconds_per_day")
print(sum(cpd.values()))
print(cpd)
ys = ['Idle', 'Adv.', 'Scan', 'Crypto\n(Daily)']
xs = [cpd[IDLE_LABEL], cpd['adv'], cpd['scan'], cpd['generate_tek']+cpd['derive_tek']+cpd['derive_rpi']+ cpd['encrypt_aem']]
xs = [x/(24*3600) for x in xs]
xs = [cpd[IDLE_LABEL], cpd['adv'], cpd['scan'], cpd['daily_crypto']]
xs = [100*x/(24*3600) for x in xs]
fig, ax = plt.subplots()
@ -242,18 +222,27 @@ def export_usage_seconds_per_day():
ax.set_xlabel('Functionality')
bars = ax.bar(ys,xs)
ax.bar_label(bars, padding=5, fmt='%.2f')
xs_labels = ["{:.2f}%".format(x) if x >= 0.01 else "<0.01%" for x in xs]
ax.bar_label(bars, padding=3, labels=xs_labels)
ax = plt.gca()
#ax.set_xlim([xmin, xmax])
ax.set_ylim([0, 109])
# Adapt the figure size as needed
fig.set_size_inches(3.5, 3.2)
fig.set_size_inches(3.0, 3.2)
plt.tight_layout()
plt.savefig("../out/export_usage_seconds_per_day.pdf", format="pdf", bbox_inches='tight')
plt.close()
def export_current_per_functionality():
ys = ['Idle', 'Adv.', 'Scan', 'Daily\nSecret', 'TEK', 'RPI', 'AEM']
xs = [consumptions[IDLE_LABEL], consumptions['adv'], consumptions['scan'], consumptions['generate_tek'], consumptions['derive_tek'], consumptions['derive_rpi'], consumptions['encrypt_aem']]
ys = ['Idle', 'Adv.', 'Scan', 'Crypto\n(Daily)']
xs = [consumptions[IDLE_LABEL], consumptions['adv'], consumptions['scan'], consumptions['daily_crypto']]
print("export_current_per_functionality")
print(consumptions)
fig, ax = plt.subplots()
@ -261,38 +250,76 @@ def export_current_per_functionality():
ax.set_xlabel('Functionality')
bars = ax.bar(ys,xs)
ax.bar_label(bars, padding=5, fmt='%.2f')
xs_labels = ["{:.2f}".format(x) if x >= 0.01 else "<0.01" for x in xs]
ax.bar_label(bars, padding=3, fmt='%.2f', labels=xs_labels)
# Adapt the figure size as needed
fig.set_size_inches(4.5, 3.2)
fig.set_size_inches(3.0, 3.2)
ax.set_ylim([0, 8])
plt.tight_layout()
plt.savefig("../out/current_per_functionality.pdf", format="pdf", bbox_inches='tight')
plt.close()
def export_tek_check():
tek_check_duration = 0.020
xs = [1000, 10000, 1000000]
ys = [x*tek_check_duration for x in xs]
xs = [0, 1250000, 2500000, 5000000]
xs = [str(x) for x in xs]
means = {}
for l in ['GAEN', 'TEK Transport', 'TEK Check']:
means[l] = []
for tpd in xs:
add_consumption('tek_check_' + str(tpd), tek_check_consumption, tek_check_duration, tpd, repetitions=tek_check_amount)
add_consumption('tek_transport_' + str(tpd), 8, 1.0, tpd, repetitions=3125)
print(tpd)
#upd = calculate_usage_seconds_per_day([
# IDLE_LABEL, 'adv', 'scan', 'daily_crypto', 'tek_check_' + str(tpd), 'tek_transport_' + str(tpd)
#])
#print(upd)
cpd = calculate_consumption_per_day([
IDLE_LABEL, 'adv', 'scan', 'daily_crypto', 'tek_check_' + str(tpd), 'tek_transport_' + str(tpd)
])
print(cpd)
means['GAEN'].append(cpd[IDLE_LABEL]+ cpd['adv']+cpd['scan']+ cpd['daily_crypto'])
means['TEK Transport'].append(cpd['tek_transport_' + str(tpd)])
means['TEK Check'].append(cpd['tek_check_' + str(tpd)])
labels = ['GAEN', 'TEK Transport', 'TEK Check']
width = 0.4 # the width of the bars: can also be len(x) sequence
fig, ax = plt.subplots()
ax.set_ylabel('Extrapolated Time [s]')
ax.set_xlabel('Number of TEKs')
bars = ax.bar(xs,ys)
ax.bar_label(bars, padding=5, fmt='%d')
#xs = [str(x) for x in xs]
xs = ['0', '1,250,000', '2,500,000', '5,000,000']
ax.bar(xs, means['GAEN'], width, label='GAEN')
ax.bar(xs, means['TEK Transport'], width, label='TEK Transport', bottom=means['GAEN'])
bars = ax.bar(xs, means['TEK Check'], width, label='TEK Check', bottom=[means['GAEN'][i]+means['TEK Transport'][i] for (i,x) in enumerate(xs)])
bar_labels = [means['GAEN'][i]+means['TEK Transport'][i]+means['TEK Check'][i] for (i,x) in enumerate(xs)]
bar_labels = ['{:.2f}'.format(l) for l in bar_labels]
print(bar_labels)
ax.bar_label(bars, padding=3, labels=bar_labels)
ax.set_ylabel('Estimated Consumption per Day [mAh]')
ax.set_xlabel('Number of TEKs per Day')
ax.legend()
# Adapt the figure size as needed
fig.set_size_inches(4.5, 3.2)
fig.set_size_inches(4.2, 3.5)
ax.set_ylim([0, 100])
plt.tight_layout()
plt.savefig("../out/tek_check.pdf", format="pdf", bbox_inches='tight')
plt.close()
export_adv_consumption()
export_usage_seconds_per_day()
export_consumption_per_day()
export_current_per_functionality()