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bmarq-sync-eval.py
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bmarq-sync-eval.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Copyright (c) 2017, Bruno Marques, INESC TEC, IPV/ESTGV, https://github.com/bmarq/bmarq-sync
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
'AS IS' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
OF THE POSSIBILITY OF SUCH DAMAGE.
'''
from __future__ import division
import os
import sys
import subprocess
import argparse
import time
from pylab import *
from scipy.stats import pareto
__version__ = 'bmarq-sync-eval.py v1.0, (C)2017, Bruno Marques, INESC TEC, IPV/ESTGV, (bmarq@estgv.ipv.pt)'
global TON, TOFF, TCYCLE, MAXCICLES, TMAXCYCLE, TMINCYCLE, RNDSEED, NUMSIM
global tCycle1_n, tCycle2_n, tCycle3_n, tCycle4_n
global tCycle1_n_1, tCycle2_n_1, tCycle3_n_1, tCycle4_n_1
global tOn1_n, tOn2_n, tOn3_n, tOn4_n
global tOn1_n_1, tOn2_n_1, tOn3_n_1, tOn4_n_1
global tOff1_n, tOff2_n, tOff3_n, tOff4_n
global tOff1_n_1, tOff2_n_1, tOff3_n_1, tOff4_n_1
global rnd_delayDist, delayDist, rnd_cycleDist, cycleDist
global discard
global n1, n2, n3, n4
global delay_1, delay_2, delay_3, delay_4
global delay1, delay2, delay3, delay4
global delay1_n, delay2_n, delay3_n, delay4_n
global delay1_n_1, delay2_n_1, delay3_n_1, delay4_n_1
global expected1_n, expected2_n, expected3_n, expected4_n
global real1_n, real2_n, real3_n, real4_n
global real1_n_1, real2_n_1, real3_n_1, real4_n_1
global delta1_n, delta2_n, delta3_n, delta4_n
global delta1_n_1, delta2_n_1, delta3_n_1, delta4_n_1
global DELTA1_n, DELTA2_n, DELTA3_n, DELTA4_n
global DELTA1_n_1, DELTA2_n_1, DELTA3_n_1, DELTA4_n_1
global tsleep1_n, tsleep2_n, tsleep3_n, tsleep4_n
global r1on_n, r2on_n, r3on_n, r4on_n
global r1on_n_1, r2on_n_1, r3on_n_1, r4on_n_1
global r1off_n, r2off_n, r3off_n, r4off_n
global r1off_n_1, r2off_n_1, r3off_n_1, r4off_n_1
global t1i_n, t2i_n, t3i_n, t4i_n
global t1i_n_1, t2i_n_1, t3i_n_1, t4i_n_1
global t1f_n, t2f_n, t3f_n, t4f_n
global t1f_n_1, t2f_n_1, t3f_n_1, t4f_n_1
global sleepOffset1_n, sleepOffset2_n, sleepOffset3_n, sleepOffset4_n
global sleepOffset1_n_1, sleepOffset2_n_1, sleepOffset3_n_1, sleepOffset4_n_1
global status1_n, status2_n, status3_n, status4_n
global alpha, beta, gamma, sigma
global n_counter, hit
global lower, upper
global success, temp_success, delta_success, success_counter
global tsensors_on, tsensors_on_percent, tSensorsOnSuccess
# ***************************************************************************
parser = argparse.ArgumentParser(description='Evaluation of the bmarq-sync sycnhronization mechanism\n')
parser.add_argument('--version', action='version', version=__version__, help='Version number of eval_bmarq.py')
parser.add_argument('--numsim', type=int, default=1, help='Number of simulations to perform (default is 1)')
parser.add_argument('--maxcycles', type=long, default=1000,
help='Maximum number of cycles per simulation (default is 1000)')
parser.add_argument('--alpha', type=float, default=0.125, choices=sorted({0.01, 0.125, 0.25, 0.50, 0.75, 0.875, 0.99}),
help='Value for alpha parameter (defaultis 0.125)')
parser.add_argument('--beta', type=int, default=1, choices=sorted({1, 2, 3, 4, 5}),
help='Value for beta parameter (default is 1)')
parser.add_argument('--gamma', type=float, default=0.80, choices=sorted({0.50, 0.70, 0.80, 0.90}),
help='%% of TON for TSensorsOn success (default is 0.80)')
parser.add_argument('--sigma', type=float, default=0.20, choices=sorted({0.0, 0.01, 0.05, 0.10, 0.15, 0.20, 0.25}),
help='Value of standard deviation for the generated delays (default is 0.20)')
parser.add_argument('--ton', type=float, default=60, help='Value for TON (defaultis 60)')
parser.add_argument('--tmaxcycle', type=float, default=3600, help='Maximum value for TCycle (default is 3600)')
parser.add_argument('--tmincycle', type=float, default=120, help='Minimum value for TCycle (default is 120)')
parser.add_argument('--discard', type=float, default=0.10,
help='Initial %% of cycles to discard for estability purposes (default is 0.10 (10%%))')
parser.add_argument('--delaydist', type=str, default='uniform',
choices=sorted(
{'constant', 'uniform', 'normal', 'exponential', 'chisquare', 'poisson', 'pareto', 'weibull'}),
help='Type of random distribution for delays (default is uniform)')
parser.add_argument('--cycledist', type=str, default='uniform',
choices=sorted(
{'constant', 'uniform', 'normal', 'exponential', 'chisquare', 'poisson', 'pareto', 'weibull'}),
help='Type of random distribution for TCycle (default is uniform). If the distribution is constant, the default value equals TMINCYCLE')
parser.add_argument('--rndseed', type=str, default='T',
choices=sorted({'True', 'T', 'False', 'F'}),
help='Use predefined random seeds to reproduce experiments? (T)rue/(F)alse (default is (T)rue)')
args = parser.parse_args()
NUMSIM = args.numsim
MAXCICLES = args.maxcycles
alpha = args.alpha
beta = args.beta
gamma = args.gamma
sigma = args.sigma
TMAXCYCLE = args.tmaxcycle
TMINCYCLE = args.tmincycle
discard = args.discard
delayDist = args.delaydist
cycleDist = args.cycledist
TON = args.ton
RNDSEED = args.rndseed
# Initial values declaration
n1 = 1 # Node 1
n2 = 2 # Node 2
n3 = 3 # Node 3
n4 = 4 # Node 4
delta_success = gamma * TON
# ***************************************************************************
# Main block of the program
subprocess.call('clear', shell=True) # clearing stdio
start_t = time.clock()
if not os.path.exists('results'):
os.makedirs('results')
if not os.path.exists('results/' + str(cycleDist)):
os.makedirs('results/' + str(cycleDist))
# ***************************************************************************
print 'Started processing at: %f ...\n' % (start_t)
# file_eval = open('./results/evaluation-parameters.txt', 'w')
f = (
'number of simulations: %d\ncycle dist: %s\ndelay dist: %s\nalpha = %.3f\nbeta = %.1f\ngamma = %.2f\nsigma = %.2f\ntMinCycle = %.1f\ntMaxCycle = %.1f\nTON = %.1f\nMinimum time for simultaneous Sensors On for success consideration = %.2f (gamma * TON) \nnumber of cycles: %d\nIgnore first %.2f * 100 %%\n') % (
NUMSIM, cycleDist, delayDist, alpha, beta, gamma, sigma, TMINCYCLE, TMAXCYCLE, TON, delta_success, MAXCICLES,
discard)
# file_eval.write(f)
# file_eval.close()
print f
# ***************************************************************************
for j in range(1, int(NUMSIM) + 1):
# Initial values declaration for the start of each simulation
status1_n = status2_n = status3_n = status4_n = tSensorsOnSuccess = 'FAIL'
delay1_n = delay_1 = delay1 = 0.5 # Initial delay for Node 1
delay2_n = delay_2 = delay2 = 1.0 # Initial delay for Node 2
delay3_n = delay_3 = delay3 = 2.0 # Initial delay for Node 3
delay4_n = delay_4 = delay4 = 5.0 # Initial delay for Node 4
delay1_n_1 = delay1_n
delay2_n_1 = delay2_n
delay3_n_1 = delay3_n
delay4_n_1 = delay4_n
delta_success = gamma * TON # gamma % of TON
temp_success = 0.00
expected1_n = expected2_n = expected3_n = expected4_n = 0.000 # t'n for nodes 1, 2, 3 and 4 (expected reception time for packet n)
expected1_n_1 = expected2_n_1 = expected3_n_1 = expected4_n_1 = 0.000
real1_n = real2_n = real3_n = real4_n = 0.000 # tn-1 for nodes 1, 2, 3 and 4 (real reception time for packet n-1 [actual (n)])
real1_n_1 = real2_n_1 = real3_n_1 = real4_n_1 = 0.000 # tn-1 for nodes 1, 2, 3 and 4 (real reception time for packet n-1 [anterior (n-1)])
delta1_n = delta2_n = delta3_n = delta4_n = 0.000
delta1_n_1 = delta2_n_1 = delta3_n_1 = delta4_n_1 = 0.000
DELTA1_n = DELTA2_n = DELTA3_n = DELTA4_n = 0.000
DELTA1_n_1 = DELTA2_n_1 = DELTA3_n_1 = DELTA4_n_1 = 0.000
tsleep1_n = tsleep2_n = tsleep3_n = tsleep4_n = 0.000
r1on_n = r2on_n = r3on_n = r4on_n = 0.000
r1on_n_1 = r2on_n_1 = r3on_n_1 = r4on_n_1 = 0.000
r1off_n = r2off_n = r3off_n = r4off_n = TON
r1off_n_1 = r2off_n_1 = r3off_n_1 = r4off_n_1 = TON
sleepOffset1_n = sleepOffset2_n = sleepOffset3_n = sleepOffset4_n = 0.000
sleepOffset1_n_1 = sleepOffset2_n_1 = sleepOffset3_n_1 = sleepOffset4_n_1 = 0.000
tOff1_n = tOff2_n = tOff3_n = tOff4_n = 0.000
tOff1_n_1 = tOff2_n_1 = tOff3_n_1 = tOff4_n_1 = 0.000
tCycle1_n = tCycle2_n = tCycle3_n = tCycle4_n = 0.000
tCycle1_n_1 = tCycle2_n_1 = tCycle3_n_1 = tCycle4_n_1 = 0.000
t1i_n = t2i_n = t3i_n = t4i_n = 0.0000
t1i_n_1 = t2i_n_1 = t3i_n_1 = t4i_n_1 = 0.0000
t1f_n = t2f_n = t3f_n = t4f_n = 0.0000
t1f_n_1 = t2f_n_1 = t3f_n_1 = t4f_n_1 = 0.0000
tsensors_on = tsensors_on_percent = 0.00
success = success_counter = 0
n_counter = 0
hit = 0
# ***************************************************************************
file_n = open('./results/' + str(cycleDist) + '/data-nCycles.txt', 'w')
# file_all = open(
# './results/' + str(cycleDist) + '/results-tcycle-dist_' + cycleDist + '-delay_' + str(delayDist) + '-gamma_' + str(
# gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
# file_sim_log = open(
# './results/' + str(cycleDist) + '/data-log-tcycle_' + cycleDist + '-delay_' + str(delayDist) + '-gamma_' + str(gamma) + '-alpha_' + str(
# alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_delay1 = open(
'./results/' + str(cycleDist) + '/data-delay-node1-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-sim_' + str(j) + '.txt', 'w')
file_delay2 = open(
'./results/' + str(cycleDist) + '/data-delay-node2-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-sim_' + str(j) + '.txt', 'w')
file_delay3 = open(
'./results/' + str(cycleDist) + '/data-delay-node3-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-sim_' + str(j) + '.txt', 'w')
file_delay4 = open(
'./results/' + str(cycleDist) + '/data-delay-node4-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-sim_' + str(j) + '.txt', 'w')
file_tSensorsOn = open(
'./results/' + str(cycleDist) + '/data-tsensors_on-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_tSensorsOn_percent = open(
'./results/' + str(cycleDist) + '/data-tsensors_on-percent-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(
j) + '.txt', 'w')
file_tSensorsOn_success = open(
'./results/' + str(cycleDist) + '/data-tsensors_on-success-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(
j) + '.txt', 'w')
file_tcycle = open(
'./results/' + str(cycleDist) + '/data-tcycle_' + cycleDist + '-delay_' + str(delayDist) + '-sim_' + str(
j) + '.txt', 'w')
file_t_expected_node1 = open(
'./results/' + str(cycleDist) + '/data-expected-node1-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_expected_node2 = open(
'./results/' + str(cycleDist) + '/data-expected-node2-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_expected_node3 = open(
'./results/' + str(cycleDist) + '/data-expected-node3-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_expected_node4 = open(
'./results/' + str(cycleDist) + '/data-expected-node4-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_real_node1 = open(
'./results/' + str(cycleDist) + '/data-real-node1-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_real_node2 = open(
'./results/' + str(cycleDist) + '/data-real-node2-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_real_node3 = open(
'./results/' + str(cycleDist) + '/data-real-node3-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_real_node4 = open(
'./results/' + str(cycleDist) + '/data-real-node4-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_bdk_node1 = open(
'./results/' + str(cycleDist) + '/data-sleepOffset-node1-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_bdk_node2 = open(
'./results/' + str(cycleDist) + '/data-sleepOffset-node2-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_bdk_node3 = open(
'./results/' + str(cycleDist) + '/data-sleepOffset-node3-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_bdk_node4 = open(
'./results/' + str(cycleDist) + '/data-sleepOffset-node4-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_delta_node1 = open(
'./results/' + str(cycleDist) + '/data-delta_n-node1-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_delta_node2 = open(
'./results/' + str(cycleDist) + '/data-delta_n-node2-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_delta_node3 = open(
'./results/' + str(cycleDist) + '/data-delta_n-node3-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_delta_node4 = open(
'./results/' + str(cycleDist) + '/data-delta_n-node4-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_DELTA_node1 = open(
'./results/' + str(cycleDist) + '/data-DELTA__n-node1-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_DELTA_node2 = open(
'./results/' + str(cycleDist) + '/data-DELTA__n-node2-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_DELTA_node3 = open(
'./results/' + str(cycleDist) + '/data-DELTA__n-node3-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
file_t_DELTA_node4 = open(
'./results/' + str(cycleDist) + '/data-DELTA__n-node4-tcycle_' + cycleDist + '-delay_' + str(
delayDist) + '-gamma_' + str(
gamma) + '-alpha_' + str(alpha) + '-beta_' + str(beta) + '-sim_' + str(j) + '.txt', 'w')
# ***************************************************************************
a = 'Simulation\t%d\n' % (j)
# a = a.expandtabs(4)
# file_all.write(a)
a = 'Cycle\tNode\tDelay\tReal\tExpect.\tDELTA\tdn\trOn\trOff\tTSleep\tb.|dn|\tTcycle\tTON\tTOFF\tStatus\tTSensorsOn\tTSensorsOn(%)\n'
# a = a.expandtabs(4)
# file_all.write(a)
a = 'TON\t%.3f\tTSensorsOnSuccess\t%.3f\n\n' % (round(TON, 3), round((gamma * TON), 3))
# a = a.expandtabs(4)
# file_sim_log.write(a)
# ***************************************************************************
success_counter += 1
n_counter = 1
for n in range(0, int(MAXCICLES) + 1):
a = 'Cycle\t%d\n' % (n)
# a = a.expandtabs(4)
# file_sim_log.write(a)
# ***************************************************************************
# generate delays for nodes for next cycle
if (RNDSEED == 'T' or RNDSEED == 'True'):
np.random.seed(j + n)
np.random.RandomState(j + n)
if (delayDist == 'uniform'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '((1 - sigma) * delay_1, (1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '((1 - sigma) * delay_2, (1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '((1 - sigma) * delay_3, (1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '((1 - sigma) * delay_4, (1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'normal'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '(delay_1, (1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '(delay_2, (1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '(delay_3, (1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '(delay_4, (1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'exponential'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'chisquare'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'poisson'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'pareto'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'weibull'):
# node 1
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_1)'
delay1 = eval(rnd_delayDist)
# node 2
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_2)'
delay2 = eval(rnd_delayDist)
# node 3
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_3)'
delay3 = eval(rnd_delayDist)
# node 4
rnd_delayDist = 'np.random.' + delayDist + '((1 + sigma) * delay_4)'
delay4 = eval(rnd_delayDist)
if (delayDist == 'constant'):
# nodes 1, 2, 3, 4
delay1 = delay_1
delay2 = delay_2
delay3 = delay_3
delay4 = delay_4
# ***************************************************************************
# generate random TCycle next cycle
if (RNDSEED == 'T' or RNDSEED == 'True'):
np.random.seed(j + n) # (n + 1)
np.random.RandomState(j + n) # (n + 1)
if (cycleDist == 'uniform'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 - sigma) * TMINCYCLE, (1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'normal'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 - sigma) * TMINCYCLE, (1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'exponential'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'chisquare'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'poisson'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'pareto'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'weibull'):
rnd_cycleDist = 'np.random.' + cycleDist + '((1 + sigma) * TMAXCYCLE)'
TCYCLE = eval(rnd_cycleDist)
if (cycleDist == 'constant'):
TCYCLE = TMINCYCLE
TOFF = TCYCLE - TON
tOn1_n = tOn2_n = tOn3_n = tOn4_n = TON
tOff1_n = tOff2_n = tOff3_n = tOff4_n = TOFF
tCycle1_n = tCycle2_n = tCycle3_n = tCycle4_n = TCYCLE
tCycle1_n_1 = tCycle2_n_1 = tCycle3_n_1 = tCycle4_n_1 = TCYCLE
delay1_n = delay1
delay2_n = delay2
delay3_n = delay3
delay4_n = delay4
if (n == 0):
tOn1_n_1 = tOn2_n_1 = tOn3_n_1 = tOn4_n_1 = 0
r1off_n = tOn1_n
r2off_n = tOn2_n
r3off_n = tOn3_n
r4off_n = tOn4_n
t1i_n = t2i_n = t3i_n = t3i_n = 0
t1f_n = tCycle1_n
t2f_n = tCycle2_n
t3f_n = tCycle3_n
t4f_n = tCycle4_n
else:
# **********************************************************
# Node 1
t1i_n = t1i_n_1 + tCycle1_n_1
real1_n = t1i_n + delay1
expected1_n = t1i_n + delta1_n_1
DELTA1_n = expected1_n - real1_n
delta1_n = (1.0 - alpha) * delta1_n_1 + alpha * abs(DELTA1_n)
sleepOffset1_n = beta * abs(delta1_n)
tsleep1_n = tOff1_n - sleepOffset1_n
r1on_n = t1i_n - sleepOffset1_n_1
t1f_n = r1on_n + tOn1_n
r1off_n = t1f_n
if (r1on_n < real1_n or r1on_n < expected1_n):
status1_n = 'PASS'
else:
status1_n = 'FAIL'
# **********************************************************
# Node 2
t2i_n = t2i_n_1 + tCycle2_n_1
real2_n = t2i_n + delay2
expected2_n = t2i_n + delta2_n_1
DELTA2_n = expected2_n - real2_n
delta2_n = (1.0 - alpha) * delta2_n_1 + alpha * abs(DELTA2_n)
sleepOffset2_n = beta * abs(delta2_n)
tsleep2_n = tOff2_n - sleepOffset2_n
r2on_n = t2i_n - sleepOffset2_n_1
t2f_n = r2on_n + tOn2_n
r2off_n = t2f_n
if (r2on_n < real2_n or r2on_n < expected2_n):
status2_n = 'PASS'
else:
status2_n = 'FAIL'
# **********************************************************
# Node 3
t3i_n = t3i_n_1 + tCycle3_n_1
real3_n = t3i_n + delay3
expected3_n = t3i_n + delta3_n_1
DELTA3_n = expected3_n - real3_n
delta3_n = (1.0 - alpha) * delta3_n_1 + alpha * abs(DELTA3_n)
sleepOffset3_n = beta * abs(delta3_n)
tsleep3_n = tOff3_n - sleepOffset3_n
r3on_n = t3i_n - sleepOffset3_n_1
t3f_n = r3on_n + tOn3_n
r3off_n = t3f_n
if (r3on_n < real3_n or r3on_n < expected3_n):
status3_n = 'PASS'
else:
status3_n = 'FAIL'
# **********************************************************
# Node 4
t4i_n = t4i_n_1 + tCycle4_n_1
real4_n = t4i_n + delay4
expected4_n = t4i_n + delta4_n_1
DELTA4_n = expected4_n - real4_n
delta4_n = (1.0 - alpha) * delta4_n_1 + alpha * abs(DELTA4_n)
sleepOffset4_n = beta * abs(delta4_n)
tsleep4_n = tOff4_n - sleepOffset4_n
r4on_n = t4i_n - sleepOffset4_n_1
t4f_n = r4on_n + tOn4_n
r4off_n = t4f_n
if (r4on_n < real4_n or r4on_n < expected4_n):
status4_n = 'PASS'
else:
status4_n = 'FAIL'
# ***************************************************************************
# Node 1
delta1_n_1 = delta1_n
DELTA1_n_1 = DELTA1_n
real1_n_1 = real1_n
expected1_n_1 = expected1_n
sleepOffset1_n_1 = sleepOffset1_n
tCycle1_n_1 = tCycle1_n
tOn1_n_1 = tOn1_n
tOff1_n_1 = tOff1_n
r1on_n_1 = r1on_n
r1off_n_1 = r1off_n
delay1_n_1 = delay1_n
t1i_n_1 = t1i_n
t1f_n_1 = t1f_n
# ***************************************************************************
# Node 2
delta2_n_1 = delta2_n
DELTA2_n_1 = DELTA2_n
real2_n_1 = real2_n
expected2_n_1 = expected2_n
sleepOffset2_n_1 = sleepOffset2_n
tCycle2_n_1 = tCycle2_n
tOn2_n_1 = tOn2_n
tOff2_n_1 = tOff2_n
r2on_n_1 = r2on_n
r2off_n_1 = r2off_n
delay2_n_1 = delay2_n
t2i_n_1 = t2i_n
t2f_n_1 = t2f_n
# ***************************************************************************
# Node 3
delta3_n_1 = delta3_n
DELTA3_n_1 = DELTA3_n
real3_n_1 = real3_n
expected3_n_1 = expected3_n
sleepOffset3_n_1 = sleepOffset3_n
tCycle3_n_1 = tCycle3_n
tOn3_n_1 = tOn3_n
tOff3_n_1 = tOff3_n
r3on_n_1 = r3on_n
r3off_n_1 = r3off_n
delay3_n_1 = delay3_n
t3i_n_1 = t3i_n
t3f_n_1 = t3f_n
# ***************************************************************************
# Node 4
delta4_n_1 = delta4_n
DELTA4_n_1 = DELTA4_n
real4_n_1 = real4_n
expected4_n_1 = expected4_n
sleepOffset4_n_1 = sleepOffset4_n
tCycle4_n_1 = tCycle4_n
tOn4_n_1 = tOn4_n
tOff4_n_1 = tOff4_n
r4on_n_1 = r4on_n
r4off_n_1 = r4off_n
delay4_n_1 = delay4_n
t4i_n_1 = t4i_n
t4f_n_1 = t4f_n
# ***************************************************************************
lower = (r1on_n, r2on_n, r3on_n, r4on_n)
upper = (r1off_n, r2off_n, r3off_n, r4off_n)
tsensors_on = (min(upper) - max(lower))
tsensors_on_percent = (tsensors_on / TON) * 100
if ((tsensors_on >= (gamma * TON)) and (tsensors_on <= TON)):
tSensorsOnSuccess = 'Success'
else:
tSensorsOnSuccess = 'Fail'
a = 'TCYCLE=\t%.3f\tTOFF\t%.3f\n' % (round(TCYCLE, 3), round(TOFF, 3))
# a = a.expandtabs(4)
# file_sim_log.write(a)
a = 'r1on_n\t%.3f\tr1off_n\t%.3f\n' % (round(r1on_n, 3), round(r1off_n, 3))
# file_sim_log.write(a)
a = 'r2on_n\t%.3f\tr2off_n\t%.3f\n' % (round(r2on_n, 3), round(r2off_n, 3))
# a = a.expandtabs(4)
# file_sim_log.write(a)
a = 'r3on_n\t%.3f\tr3off_n\t%.3f\n' % (round(r3on_n, 3), round(r3off_n, 3))
# a = a.expandtabs(4)
# file_sim_log.write(a)
a = 'r4on_n\t%.3f\tr4off_n\t%.3f\n' % (round(r4on_n, 3), round(r4off_n, 3))
# a = a.expandtabs(4)
# file_sim_log.write(a)
a = 'lower_t\t%.3f\tupper_t\t%.3f\ttSensorsOn(s)\t%.3f\ttSensorsOn(%%)\t%.3f\t%s\n\n' % (
round(max(lower), 3), round(min(upper), 3), round(tsensors_on, 3), round(tsensors_on_percent, 3),
tSensorsOnSuccess)
# a = a.expandtabs(4)
# file_sim_log.write(a)
if (n >= int(MAXCICLES * discard)):
n_counter += 1
if ((min(upper) - max(lower)) >= delta_success):
hit += 1
success = (hit / (n_counter - 1)) * 100 # in percentage
a = '{0}\n'.format(str(round(success, 3)))
# a = a.expandtabs(4)
file_tSensorsOn_success.write(a)
# Node 1
a = '{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}\t{7}\t{8}\t{9}\t{10}\t{11}\t{12}\t{13}\t{14}\n'.format(str(n),
str(n1),
str(
round(delay1_n,
3)),
str(
round(real1_n,
3)),
str(
round(
expected1_n,
3)),
str(
round(DELTA1_n,
3)),
str(
round(
delta1_n,
3)),
str(
round(r1on_n, 3)),
str(round(r1off_n,
3)),
str(round(
tsleep1_n,
3)),
str(
round(
sleepOffset1_n,
3)),
str(
round(TCYCLE, 3)),
str(round(TON, 3)),
str(round(TOFF, 3)),
status1_n)
# a = a.expandtabs(4)
# file_all.write(a)
b1 = '{0}\n'.format(str(round(delay1_n, 3)))
# b1 = b1.expandtabs(4)
file_delay1.write(b1)
c1 = '{0}\n'.format(str(round(sleepOffset1_n, 3)))
# c1 = c1.expandtabs(4)
file_bdk_node1.write(c1)
d1 = '{0}\n'.format(str(round(delta1_n, 3)))
# d1 = d1.expandtabs(4)
file_t_delta_node1.write(d1)
e1 = '{0}\n'.format(str(round(DELTA1_n, 3)))
# e1 = e1.expandtabs(4)
file_t_DELTA_node1.write(e1)
f1 = '{0}\n'.format(str(round(expected1_n, 3)))
# f1 = f1.expandtabs(4)
file_t_expected_node1.write(f1)
g1 = '{0}\n'.format(str(round(real1_n, 3)))
# g1 = g1.expandtabs(4)
file_t_real_node1.write(g1)
# Node 2
a = '\t{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}\t{7}\t{8}\t{9}\t{10}\t{11}\t{12}\t{13}\n'.format(str(n2),
str(round(delay2, 3)),
str(
round(real2_n, 3)),
str(
round(expected2_n,
3)),
str(
round(DELTA2_n,
3)),
str(
round(
delta2_n,
3)),
str(round(r2on_n,
3)),
str(round(r2off_n,
3)),
str(round(
tsleep2_n,
3)),
str(
round(sleepOffset2_n,
3)),
str(round(TCYCLE, 3)),
str(round(TON, 3)),
str(round(TOFF, 3)),
status2_n)
# a = a.expandtabs(4)
# file_all.write(a)
b2 = '{0}\n'.format(str(round(delay2, 3)))
# b2 = b2.expandtabs(4)
file_delay2.write(b2)
c2 = '{0}\n'.format(str(round(sleepOffset2_n, 3)))
# c2 = c2.expandtabs(4)
file_bdk_node2.write(c2)
d2 = '{0}\n'.format(str(round(delta2_n, 3)))
# d2 = d2.expandtabs(4)
file_t_delta_node2.write(d2)
e2 = '{0}\n'.format(str(round(DELTA2_n, 3)))
# e2 = e2.expandtabs(4)
file_t_DELTA_node2.write(e2)
f2 = '{0}\n'.format(str(round(expected2_n, 3)))
# f2 = f2.expandtabs(4)
file_t_expected_node2.write(f2)
g2 = '{0}\n'.format(str(round(real2_n, 3)))
# g2 = g2.expandtabs(4)
file_t_real_node2.write(g2)
# Node 3
a = '\t{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}\t{7}\t{8}\t{9}\t{10}\t{11}\t{12}\t{13}\n'.format(str(n3),
str(round(delay3, 3)),
str(round(real3_n, 3)),
str(round(expected3_n,
3)),
str(
round(DELTA3_n, 3)),
str(round(delta3_n, 3)),
str(round(r3on_n, 3)),
str(round(r3off_n, 3)),
str(
round(tsleep3_n, 3)),
str(
round(sleepOffset3_n,
3)),
str(round(TCYCLE, 3)),
str(round(TON, 3)),
str(round(TOFF, 3)),
status3_n)
# a = a.expandtabs(4)
# file_all.write(a)
b3 = '{0}\n'.format(str(round(delay3, 3)))
# b3 = b3.expandtabs(4)
file_delay3.write(b3)
c3 = '{0}\n'.format(str(round(sleepOffset3_n, 3)))
# c3 = c3.expandtabs(4)
file_bdk_node3.write(c3)
d3 = '{0}\n'.format(str(round(delta3_n, 3)))
# d3 = d3.expandtabs(4)
file_t_delta_node3.write(d3)
e3 = '{0}\n'.format(str(round(DELTA3_n, 3)))
# e3 = e3.expandtabs(4)
file_t_DELTA_node3.write(e3)
f3 = '{0}\n'.format(str(round(expected3_n, 3)))
# f3 = f3.expandtabs(4)
file_t_expected_node3.write(f3)
g3 = '{0}\n'.format(str(round(real3_n, 3)))
# g3 = g3.expandtabs(4)
file_t_real_node3.write(g3)
# Node 4
a = '\t{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}\t{7}\t{8}\t{9}\t{10}\t{11}\t{12}\t{13}\t{14}\t{15}\n\n'.format(str(n4),
str(
round(
delay4,
3)),
str(
round(
real4_n,
3)),
str(
round(
expected4_n,
3)),
str(
round(
DELTA4_n,
3)),
str(
round(
delta4_n,
3)),
str(round(
r4on_n,
3)),
str(round(
r4off_n,
3)),
str(round(
tsleep4_n,
3)),
str(round(
sleepOffset4_n,
3)),
str(
round(
TCYCLE,
3)),
str(
round(
TON,
3)),
str(round(
TOFF,
3)),
status4_n,
str(
round(
tsensors_on,
3)),
str(round(
tsensors_on_percent,
3)))