#routers = ('EpidemicRouter', 'SprayAndWaitRouter',)
#areas = ('500,500', '1000,1000', '1500,1500',)
probs = (0, 0.2, 0.4, 0.5, 0.6, 0.8, 1)
rng_max = 5
reports = ('MultiAppReport-BBC', 'MultiAppChecks-BBC', 'MessageStatsReport')
stats = ('Average_Percentage', 'Average_Success_Rate', 'delivery_prob')
for i in xrange(len(reports)):
file = open(stats[i] + '.txt', 'w')
file.write('prob avg ci\n')
for prob in probs:
del_ratio = []
for j in xrange(1, rng_max + 1):
fname = 'Relay_p-%.1f_t-300_%d_%s.txt' % (prob, j, reports[i])
del_ratio.append(gs.get_stat(fname, stats[i]))
# Average delivery ratio
avg = gs.get_average(del_ratio)
sd = gs.get_std_dev(del_ratio)
ci = gs.confidence_interval_mean(rng_max, sd)
print '%s %.2f %.4f' % (
prob,
avg,
ci,
)
file.write(str(prob) + ' ' + str(avg) + ' ' + str(ci) + '\n')
file.close()
file = open('Relay_Percentage.txt', 'w')
apps = ('BBC', 'SportsApp', 'Weather')
rng_max = 5
reports = ('MultiAppReport', 'MultiAppChecks')
stats = ('Average_Percentage', 'Average_Success_Rate')
for i in xrange(len(reports)):
for k in xrange(len(apps)):
file = open(stats[i] + '-' + apps[k] + '.txt', 'w')
file.write('priority avg ci\n')
for priority in prioritize:
del_ratio = []
for j in xrange(1, rng_max + 1):
fname = 'Priority_%s_%d_%s-%s.txt' % (priority, j, reports[i],
apps[k])
del_ratio.append(gs.get_stat(fname, stats[i]))
# Average delivery ratio
avg = gs.get_average(del_ratio)
sd = gs.get_std_dev(del_ratio)
ci = gs.confidence_interval_mean(rng_max, sd)
print '%s %.2f %.4f' % (
priority,
avg,
ci,
)
file.write(str(priority) + ' ' + str(avg) + ' ' + str(ci) + '\n')
file.close()
file = open('delivery_prob.txt', 'w')
__version__ = "1.0"
import csv
import _gen_stats as gs
import math
# Routers used
routers = ('EpidemicRouter', 'SprayAndWaitRouter',)
areas = ('500,500', '1000,1000', '1500,1500',)
rng_max = 5
for router in routers:
print '# Router', router
for area in areas:
del_ratio = []
for i in xrange(1, rng_max+1):
fname = 'scenario_%s_area-%s_rng-%d_MessageStatsReport.txt' % (router, area, i,)
del_ratio.append(gs.get_stat(fname))
# Average delivery ratio
avg = gs.get_average(del_ratio)
sd = gs.get_std_dev(del_ratio)
ci = gs.confidence_interval_mean(rng_max, sd)
print '%s %.2f %.4f' % (area, avg, ci,)
# Any two data sets for Gnuplot must be separated by exactly 2 blank lines
print '\n'
import math
# Routers used
#routers = ('EpidemicRouter', 'SprayAndWaitRouter',)
#areas = ('500,500', '1000,1000', '1500,1500',)
hosts = (21, 42, 63, 84, 105, 126)
rng_max = 5
reports = ('MultiAppReport-BBC', 'MultiAppChecks-BBC', 'MessageStatsReport.txt')
stats = ('Average_Percentage', 'Average_Success_Rate', 'delivery_prob')
for i in xrange(len(reports)):
file = open(stats[i]+'.txt', 'w')
file.write('host avg ci\n')
for host in hosts:
del_ratio = []
for j in xrange(1, rng_max+1):
fname = 'Density_%d-hosts_%d_%s' % (host, j, reports[i],)
del_ratio.append(gs.get_stat(fname,stats[i]))
# Average delivery ratio
avg = gs.get_average(del_ratio)
sd = gs.get_std_dev(del_ratio)
ci = gs.confidence_interval_mean(rng_max, sd)
print '%s %.2f %.4f' % (host, avg, ci,)
file.write(str(host)+' '+str(avg)+' '+str(ci)+'\n')
file.close()
relays = ('0', '300')
rng_max = 5
reports = ('MultiAppReport-BBC', 'MultiAppChecks-BBC', 'EnergyReport')
stats = ('Average_Percentage', 'Average_Success_Rate', 'Average_Source_Energy')
for i in xrange(len(reports)):
for relay in relays:
file = open(stats[i] + '_R-' + relay + '.txt', 'w')
file.write('interface avg ci\n')
for interface in interfaces:
del_ratio = []
for j in xrange(1, rng_max + 1):
fname = 'Energy_%s_R-%s_%d_%s.txt' % (interface, relay, j,
reports[i])
del_ratio.append(gs.get_stat(fname, stats[i]))
# Average delivery ratio
avg = gs.get_average(del_ratio)
sd = gs.get_std_dev(del_ratio)
ci = gs.confidence_interval_mean(rng_max, sd)
print '%s %.2f %.4f' % (
interface,
avg,
ci,
)
file.write(str(interface) + ' ' + str(avg) + ' ' + str(ci) + '\n')
file.close()
for relay in relays:
apps = 10
reports = ('MultiAppReport-App', 'MultiAppChecks-App', 'CDFRelayReport-App', 'CDFUpdateReport-App')
stats = ('Average_Percentage', 'Reject_Percentage', 'Relay_Percentage')
for x in xrange(len(flood)):
# MultiAppReport
for i in xrange(0, len(stats)):
file = open(stats[i]+'_'+scheme[x]+'_'+relay[x]+'.txt', 'w')
file.write('sources avg max app min app\n')
for source in sources:
del_ratio = []
for j in xrange(1, apps+1):
fname = '%s_%s/S-%d/Source_S-%d_%s_F-%s_MultiAppReport-App%d.txt' % (scheme[x], relay[x], source, source, relay[x], flood[x], j)
del_ratio.append(gs.get_stat(fname,stats[i]))
# Average delivery ratio
avg = gs.get_average(del_ratio)
minimum = gs.get_min(del_ratio)
maximum = gs.get_max(del_ratio)
print '%d %.2f %.2f App%f %f App%f' % (source, avg, maximum[0], maximum[1], minimum[0], minimum[1])
file.write(str(source)+' '+str(avg)+' '+str(maximum[0])+' '+str(maximum[1])+' '+str(minimum[0])+' '+str(minimum[1])+'\n')
file.close()
file = open('Success_Rate_'+scheme[x]+'_'+relay[x]+'.txt', 'w')
file.write('sources avg max app min app\n')
for source in sources:
del_ratio = []