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in
1.
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NT
RO
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O
N
A
d
v
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m
e
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t
i
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w
ir
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k
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p
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it
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ap
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s
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ase
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p
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ata
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m
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e
to
n
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d
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[
3
]
.
T
h
e
s
en
s
o
r
n
o
d
es
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ep
lo
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ed
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l
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ac
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g
t
o
s
tatis
t
ical
d
is
tr
ib
u
tio
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w
h
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h
i
s
p
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in
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,
o
v
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a
g
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r
ap
h
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r
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io
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o
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in
ter
est
(
R
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.
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ir
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s
en
s
o
r
n
et
w
o
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co
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s
is
t
s
o
f
v
ar
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s
s
e
n
s
o
r
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o
d
es
th
at
ar
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u
s
ed
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m
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ito
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tar
g
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t
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lik
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f
o
r
est
f
ir
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etec
tio
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b
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o
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r
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m
y
p
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n
d
m
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ito
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ac
ti
v
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b
y
i
n
d
u
s
tr
y
m
a
n
ag
er
[
4
]
.
W
h
en
n
et
w
o
r
k
s
ca
les
u
p
,
r
o
u
tin
g
b
ec
o
m
es
m
o
r
e
ch
al
l
en
g
i
n
g
an
d
cr
itical.
C
ar
ef
u
l
r
eso
u
r
ce
m
an
a
g
e
m
e
n
t
a
n
d
d
eliv
er
i
n
g
t
h
e
co
llected
m
u
lti
m
ed
ia
d
ata
in
W
MSN
is
m
o
s
t
i
m
p
o
r
tan
t
in
W
MSN.
S
w
ar
m
in
telli
g
e
n
ce
b
ased
r
o
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tin
g
p
r
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to
co
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ca
n
b
e
u
s
ed
f
o
r
ef
f
icien
t
r
eso
u
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ce
m
a
n
ag
e
m
e
n
t.
On
e
o
f
t
h
e
m
o
s
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
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m
p
Sci
I
SS
N:
2502
-
4752
Tit
le
o
f m
a
n
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s
crip
t is sh
o
r
t a
n
d
clea
r
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imp
lies
r
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ch
r
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l
ts
(
F
i
r
s
t A
u
th
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)
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s
u
cc
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s
s
f
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l
s
w
ar
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tell
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tech
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iq
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t
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An
t
co
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p
ti
m
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in
w
h
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An
t
s
u
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f
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ar
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i
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to
f
in
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th
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m
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t e
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f
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ath
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p
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ased
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p
lo
it
s
t
h
e
i
n
ter
d
ep
en
d
en
ce
o
f
t
h
e
la
y
er
in
o
r
d
er
to
i
n
cr
ea
s
e
n
etw
o
r
k
li
f
eti
m
e.
T
h
e
Net
w
o
r
k
s
i
m
u
lato
r
h
elp
s
th
e
d
ev
elo
p
er
to
cr
ea
te
an
d
s
im
u
lat
e
n
e
w
m
o
d
els
o
n
a
n
ar
b
itra
r
y
n
et
w
o
r
k
b
y
s
p
ec
i
f
y
in
g
b
o
t
h
t
h
e
b
e
h
av
io
r
o
f
t
h
e
n
et
wo
r
k
n
o
d
es
a
n
d
t
h
e
co
m
m
u
n
icatio
n
ch
a
n
n
els.
I
t
p
r
o
v
id
es
a
v
ir
tu
a
l
en
v
ir
o
n
m
e
n
t
f
o
r
an
as
s
o
r
t
m
e
n
t
o
f
d
esira
b
l
e
f
ea
t
u
r
es
s
u
c
h
a
s
m
o
d
eli
n
g
a
n
et
w
o
r
k
b
ased
o
n
a
s
p
ec
if
ic
cr
iter
ia
an
d
an
al
y
zi
n
g
it
s
p
er
f
o
r
m
an
ce
u
n
d
er
d
if
f
er
en
t
s
ce
n
ar
io
s
[
9
]
.
Hen
ce
Net
w
o
r
k
S
i
m
u
lato
t2
(
N
S2
)
is
u
s
ed
as a
s
i
m
u
lato
r
w
h
i
l
e
d
o
in
g
ex
p
er
i
m
en
ta
tio
n
.
T
h
e
r
em
ai
n
d
er
o
f
t
h
is
p
ap
er
i
s
o
r
g
an
ized
as
f
o
llo
w
s
:
Sectio
n
2
p
r
o
v
id
es
b
r
ief
r
ev
ie
w
o
f
t
h
e
r
elate
d
w
o
r
k
.
I
n
s
ec
tio
n
3
C
r
o
s
s
la
y
er
b
ased
An
tSe
n
s
eNe
t p
r
o
to
co
l i
s
p
r
esen
ted
.
Sectio
n
4
d
is
cu
s
s
es th
e
r
es
u
lt
s
an
d
i
n
s
ec
tio
n
5
co
n
cl
u
d
in
g
r
e
m
ar
k
s
ar
e
p
r
esen
ted
.
2.
R
E
L
AT
E
D
WO
RK
I
n
w
ir
ele
s
s
s
e
n
s
o
r
n
et
w
o
r
k
s
m
o
s
t
r
o
u
ti
n
g
p
r
o
to
co
ls
co
n
s
id
er
en
er
g
y
s
a
v
in
g
as
t
h
e
m
ai
n
o
b
j
ec
tiv
e.
B
u
t
d
u
e
to
ad
d
itio
n
o
f
au
d
io
,
v
id
eo
an
d
i
m
a
g
i
n
g
s
en
s
o
r
s
ad
d
itio
n
al
ch
alle
n
g
e
s
ar
e
ex
p
o
s
ed
.
L
u
is
C
o
b
o
,
Qu
i
n
ter
o
an
d
Sa
m
u
el
h
a
v
e
p
r
o
p
o
s
ed
an
t
b
ased
r
o
u
ti
n
g
p
r
o
to
co
l
f
o
r
W
MSN.
Her
e
t
h
e
y
h
av
e
u
s
ed
a
n
t
b
ased
m
u
lti
Qo
S
r
o
u
ti
n
g
m
e
tr
ic.
I
t
i
s
s
tated
t
h
at
th
i
s
al
g
o
r
ith
m
h
a
s
b
etter
co
n
v
er
g
e
n
ce
a
n
d
p
r
o
v
id
es
b
etter
Qo
S
f
o
r
m
u
ltip
le
t
y
p
e
s
o
f
Qo
S.[
1
]
A
b
az
ee
d
an
d
Sa
lee
m
h
a
v
e
p
r
o
p
o
s
ed
th
at
i
m
p
r
o
v
ed
AC
O
to
s
ea
r
ch
f
o
r
b
est p
at
h
t
h
at
ar
e
s
at
is
f
ied
w
i
th
m
u
lti
m
ed
ia
tr
af
f
ic
r
eq
u
ir
e
m
e
n
t.
T
o
m
a
k
e
b
est
d
ec
is
io
n
t
h
e
w
ei
g
h
ta
g
e
is
g
iv
e
n
to
en
er
g
y
co
n
s
u
m
p
tio
n
an
d
q
u
eu
i
n
g
d
ela
y
.
A
t
M
AC
la
y
er
d
y
n
a
m
ic
d
u
t
y
c
y
cle
ass
i
g
n
m
en
t
is
p
r
o
p
o
s
ed
to
s
atis
f
y
its
g
o
als.
R
es
u
lt
s
h
o
w
s
th
at
it
h
as a
c
h
iev
ed
b
ette
r
d
eliv
er
y
r
atio
an
d
en
er
g
y
co
n
s
u
m
p
tio
n
h
as b
ee
n
r
ed
u
ce
d
.
[
2
]
I
n
C
R
W
MSN
p
r
o
p
o
s
ed
b
y
Z
a
r
a
Ha
m
id
,
Fais
al
B
ash
ir
an
d
J
ae
Yo
u
n
g
P
y
u
n
m
a
n
y
c
h
alle
n
g
es
r
ela
ted
to
d
ela
y
an
d
er
r
o
r
s
ar
e
p
r
ese
n
ted
.
T
h
e
p
r
o
to
co
l
u
s
es
a
r
o
u
ti
n
g
m
etr
ic
b
ased
p
ac
k
et
s
e
r
v
ice
ti
m
e,
c
h
an
n
e
l
u
tili
za
t
io
n
,
h
o
p
co
u
n
t
a
n
d
e
n
e
r
g
y
o
f
a
n
o
d
e.
R
es
u
lt
s
s
h
o
w
s
t
h
at
e
n
d
to
en
d
p
ac
k
e
t
late
n
c
y
h
as
b
ee
n
d
ec
r
ea
s
ed
an
d
th
r
o
u
g
h
p
u
t o
f
t
h
e
s
y
s
te
m
i
s
in
cr
ea
s
ed
.
[
5
]
Ma
tteo
C
esa
n
a,
Nestro
T
ig
lao
,
J
o
s
e
M.
,
P
etia
T
o
d
o
r
o
v
a
h
as
p
r
esen
ted
th
e
m
a
in
c
h
ar
ac
te
r
is
tics
a
n
d
r
eq
u
ir
e
m
en
ts
o
f
r
ea
l
t
i
m
e
m
u
l
t
i
m
ed
ia
m
o
n
i
to
r
in
g
ap
p
licatio
n
s
an
d
th
e
n
h
i
g
h
lig
h
ted
k
e
y
r
es
ea
r
ch
d
ir
ec
tio
n
s
.
I
t
is
s
u
g
g
ested
t
h
at
ap
p
licatio
n
c
en
tr
ic
cr
o
s
s
la
y
er
o
p
ti
m
iza
tio
n
is
ess
e
n
tial
to
ac
h
ie
v
e
th
e
r
eq
u
ir
ed
Qo
S
in
m
o
s
t
en
er
g
y
ef
f
icie
n
t
w
a
y
.
[
6
]
I
s
la
m
A
l
m
al
k
a
w
i,
Ma
n
el
Z
ap
aa
an
d
J
am
a
l
A
l
-
Kar
ak
i
h
as
ex
p
lo
ited
th
e
h
ier
ar
ch
ical
s
t
r
u
ctu
r
e
o
f
p
o
w
er
f
u
l
cl
u
s
ter
h
ea
d
s
a
n
d
th
e
o
p
ti
m
ized
m
u
ltip
le
p
ath
s
alo
n
g
w
i
th
th
e
ad
ap
ti
v
e
s
c
h
e
d
u
lin
g
to
s
u
p
p
o
r
t
r
eliab
le,
h
ig
h
th
r
o
u
g
h
p
u
t a
n
d
en
er
g
y
ef
f
icie
n
t
m
u
lti
m
ed
ia
tr
an
s
m
i
s
s
io
n
i
n
W
MSN.
C
o
r
r
elatio
n
ch
ar
ac
ter
i
s
tics
an
d
f
u
n
ctio
n
alitie
s
b
et
w
ee
n
t
w
o
la
y
er
s
h
a
v
e
b
ee
n
ex
p
lo
ited
to
m
a
x
i
m
ize
th
e
n
et
w
o
r
k
p
er
f
o
r
m
a
n
ce
w
it
h
m
in
i
m
u
m
en
er
g
y
co
n
s
u
m
p
t
io
n
.
[
7
]
An
An
t
b
ased
p
r
o
to
co
l d
esig
n
ed
f
o
r
W
MSN
i
s
AS
A
T
(
An
a
n
t b
ased
s
er
v
ice
a
w
ar
e
r
o
u
ti
n
g
alg
o
r
i
t
h
m
f
o
r
W
MSN
is
p
r
esen
ted
b
y
Y.
Su
n
,
L
u
i,
T
u
n
g
.
T
h
is
p
r
o
to
co
l
d
ef
in
e
s
th
r
ee
d
i
f
f
er
e
n
t
p
ar
a
m
eter
s
o
f
s
er
v
ices
a
s
ev
en
t
d
r
iv
e
n
,
d
ata
q
u
er
y
an
d
s
tr
ea
m
q
u
er
y
s
er
v
ice
s
.
A
S
AR
ac
h
ie
v
es
b
etter
p
er
f
o
r
m
an
ce
in
ter
m
s
o
f
b
etter
co
n
v
er
g
e
n
ce
a
n
d
p
r
o
v
id
es b
etter
Qo
S f
o
r
m
u
lt
ip
le
t
y
p
es o
f
s
er
v
ices.
[
8
]
3.
CRO
SS
L
AYER
E
D
A
ntSens
eNe
t
P
RO
T
O
CO
L
An
t
b
ased
cr
o
s
s
la
y
er
r
o
u
t
in
g
p
r
o
to
co
l
is
i
m
p
le
m
e
n
te
d
to
o
p
tim
ize
t
h
e
Qo
S
p
a
r
a
m
eter
s
.
An
tSe
n
s
e
Net
p
r
o
to
co
l
is
h
ier
ar
ch
ical
p
r
o
to
co
l
b
ased
o
n
an
t
co
lo
n
y
o
p
ti
m
izatio
n
p
r
o
to
co
l.
An
t
Se
n
s
e
N
et
alg
o
r
ith
m
i
s
d
iv
id
ed
i
n
to
th
r
e
e
s
tep
s
:
I
n
f
ir
s
t
s
tep
it
clu
s
ter
s
th
e
n
o
d
es
i
n
co
lo
n
ie
s
.
T
h
en
it
f
i
n
d
s
t
h
e
r
o
u
te
b
et
w
ee
n
clu
s
ter
s
t
h
at
m
ee
t
t
h
e
r
eq
u
ir
e
m
e
n
ts
a
n
d
last
l
y
i
t
f
o
r
w
ar
d
s
n
e
t
w
o
r
k
tr
af
f
ic
o
v
er
th
e
p
r
ev
io
u
s
l
y
d
is
co
v
er
ed
r
o
u
te.
W
MSN
Mo
d
el:
Net
w
o
r
k
is
cr
ea
ted
w
it
h
m
u
l
ti
m
ed
ia
s
e
n
s
o
r
n
o
d
es
w
it
h
th
r
ee
t
y
p
es
o
f
s
e
n
s
o
r
s
in
cl
u
d
in
g
au
d
io
,
v
id
eo
an
d
te
m
p
er
at
u
r
e
s
e
n
s
o
r
n
o
d
es
.
Net
w
o
r
k
s
i
m
u
la
to
r
2
is
u
s
ed
t
o
d
ev
elo
p
an
d
s
i
m
u
late
th
e
p
er
f
o
r
m
an
ce
o
f
t
h
e
An
t
b
ased
C
r
o
s
s
la
y
er
p
r
o
to
co
l.
T
h
r
o
u
g
h
p
u
t,
lif
eti
m
e,
j
i
tter
an
d
p
ac
k
et
d
eliv
er
y
r
atio
ar
e
u
s
ed
as
th
e
p
er
f
o
r
m
an
ce
m
ea
s
u
r
es
to
ev
alu
a
te
th
e
p
er
f
o
r
m
a
n
ce
.
T
h
e
f
o
llo
w
i
n
g
a
s
s
u
m
p
t
io
n
s
ar
e
m
ad
e
f
o
r
th
i
s
s
en
s
o
r
n
et
w
o
r
k
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
10
,
No
.
1
,
A
p
r
il 2
0
1
8
:
3
0
2
–
3
0
8
304
a.
No
d
es a
r
e
r
an
d
o
m
l
y
p
lace
d
an
d
u
n
i
f
o
r
m
l
y
d
is
tr
ib
u
ted
o
v
er
t
h
e
t
w
o
d
i
m
e
n
s
io
n
al
p
lan
e.
b.
Sen
s
o
r
n
o
d
es
a
n
d
s
in
k
b
o
th
ar
e
n
o
t
m
o
b
ile.
c.
T
h
er
e
ar
e
th
r
ee
ty
p
es o
f
s
en
s
o
r
n
o
d
es: Au
d
io
,
Vid
eo
an
d
s
ca
lar
(
T
em
p
er
atu
r
e
s
e
n
s
o
r
n
o
d
es).
d.
I
s
o
tr
o
p
ic
p
r
o
p
ag
atio
n
m
o
d
el
is
f
o
llo
w
ed
f
o
r
co
m
m
u
n
icatio
n
b
et
w
ee
n
th
e
n
o
d
es.
e.
No
d
es a
r
e
u
n
a
w
ar
e
o
f
t
h
eir
lo
ca
tio
n
.
On
ce
n
et
w
o
r
k
is
cr
ea
t
ed
w
i
th
m
u
lti
m
ed
ia
s
en
s
o
r
s
n
o
d
es,
t
h
e
n
t
h
e
n
et
w
o
r
k
is
p
ar
titi
o
n
ed
in
to
clu
s
ter
s
.
C
l
u
s
ter
i
n
g
p
r
o
ce
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305
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e
th
e
an
t
s
i
n
th
e
n
et
w
o
r
k
.
W
h
en
e
v
er
th
is
ti
m
er
ex
p
ir
es,
B
S
ca
lcu
lates
th
e
n
u
m
b
er
o
f
an
ts
to
b
e
r
elea
s
ed
in
th
e
n
etw
o
r
k
.
E
ac
h
n
o
d
e
m
ai
n
tai
n
s
m
ai
n
ten
a
n
ce
t
i
m
er
,
a
n
d
ch
ec
k
s
f
o
r
tr
af
f
ic
lo
ad
,
if
it
r
ea
c
h
es
th
e
t
h
r
esh
o
ld
t
h
en
it
s
e
n
d
M
A
NT
m
es
s
ag
e
w
i
th
p
h
er
o
m
o
n
e
v
alu
e.
R
ec
eiv
er
n
o
d
e
u
p
d
ates
th
e
p
h
er
o
m
o
n
e
v
alu
e
w
i
th
t
h
e
n
e
w
p
h
er
o
m
o
n
e
v
al
u
e
.
Fro
m
t
h
e
in
ter
f
ac
e
-
q
u
eu
e,
m
ac
la
y
er
an
d
lin
k
la
y
er
,
p
ac
k
et
d
elay
in
ter
m
s
o
f
q
u
eu
e_
d
ela
y
,
tr
an
s
m
is
s
io
n
_
d
ela
y
,
n
et
w
o
r
k
_
d
ela
y
an
d
m
ac
_
d
ela
y
ar
e
esti
m
ated
,
Fro
m
th
e
s
e
v
al
u
es,
p
ac
k
e
t ser
v
ice
ti
m
e
is
es
ti
m
ated
.
T
_
P
S
T
=
T
_
n
et
+
T
_
q
u
eu
e
+
T
_
m
ac
+
T
_
tr
an
s
;
Fro
m
M
A
C
id
le
ti
m
e
a
n
d
last
tr
an
s
m
is
s
io
n
ti
m
e,
T
_
P
S
T
v
alu
e
is
u
p
d
ated
.
T
_
P
s
t =
T
r
-
Tl
D
u
r
in
g
d
ata
tr
an
s
m
is
s
io
n
,
b
as
ed
o
n
th
e
p
ac
k
et
s
er
v
ice
class
,
d
ela
y
f
o
r
ea
ch
h
o
p
is
ca
lc
u
lat
ed
as
d
_
h
o
p
=
ch
-
>P
ST
/ c
h
-
>s_
P
ST
*
ch
-
>p
k
t_
clas
s
;
d
i =
(
C
UR
R
E
NT
_
T
I
ME
-
ch
-
>en
q
_
ti
m
e)
;
eta_
i =
d
i /
d
_
h
o
p
;
I
n
o
r
d
er
to
m
ai
n
tai
n
t
h
e
r
o
u
te,
F
A
NT
S
ar
e
g
en
er
ated
p
e
r
io
d
ically
i
n
o
r
d
er
to
u
p
d
ate
th
e
p
ath
p
er
io
d
ically
.
Du
r
i
n
g
r
o
u
te
m
a
in
te
n
an
ce
co
n
g
es
tio
n
an
d
lo
s
t
lin
k
p
r
o
b
lem
ar
e
also
tak
e
n
in
to
co
n
s
id
er
atio
n
in
o
r
d
er
t
o
m
i
n
i
m
ize
t
h
e
p
a
ck
et
l
o
s
s
an
d
to
i
m
p
r
o
v
e
t
h
e
th
r
o
u
g
h
p
u
t.
I
n
th
i
s
p
r
o
to
co
l
clu
s
ter
h
ea
d
f
o
r
w
ar
d
s
t
h
e
d
ata
f
o
llo
w
in
g
t
h
e
m
a
x
i
m
u
m
p
h
er
o
m
o
n
e
v
al
u
e.
I
n
t
h
i
s
p
r
o
to
co
l
s
en
s
o
r
d
ata
is
i
n
v
ar
i
o
u
s
f
o
r
m
s
s
u
c
h
a
s
a
u
d
io
d
ata,
v
id
eo
d
ata,
s
ca
lar
d
ata.
He
n
c
e
p
ac
k
et
s
ch
ed
u
li
n
g
p
o
licy
is
co
n
s
id
er
ed
f
o
r
d
if
f
e
r
en
t
t
y
p
e
s
o
f
d
ata.
Her
e
ea
ch
C
H
cla
s
s
i
f
ier
c
h
ec
k
s
t
h
e
t
y
p
e
o
f
d
ata
p
ac
k
et
a
n
d
th
en
i
t is se
n
t to
th
e
ap
p
r
o
p
r
iate
q
u
eu
e
an
d
s
c
h
ed
u
ler
o
r
g
a
n
iz
es th
i
s
d
ata
ac
co
r
d
in
g
to
t
y
p
e
an
d
p
r
io
r
ity
.
4.
RE
SU
L
T
S
& AN
AL
Y
SI
S
Her
e,
Dif
f
er
en
t
Qo
S
p
ar
a
m
e
te
r
s
ar
e
an
al
y
ze
d
f
o
r
An
tSe
n
s
eNe
t
p
r
o
to
co
l
an
d
C
r
o
s
s
l
a
y
er
b
ased
An
tSe
n
s
e
Net
p
r
o
to
co
l.
T
h
er
e
ar
e
t
w
o
t
y
p
e
s
o
f
n
o
d
es:
s
ca
lar
s
en
s
o
r
n
o
d
es
an
d
m
u
lti
m
ed
ia
s
en
s
o
r
n
o
d
es.
R
ad
io
r
an
g
e
o
f
th
e
n
o
d
es
is
1
0
0
m
.
No
d
es
ar
e
r
an
d
o
m
l
y
d
is
tr
ib
u
ted
i
n
th
e
n
et
w
o
r
k
h
a
v
i
n
g
s
ize
o
f
5
0
0
m
X
5
0
0
m
.
Mo
d
if
ied
v
er
s
io
n
o
f
8
0
2
.
1
1
MA
C
p
r
o
to
co
l
is
u
s
ed
w
h
ich
u
s
e
s
p
r
io
r
ity
q
u
e
u
e
an
d
h
an
d
les
m
u
lt
i
m
ed
ia
tr
af
f
ic
v
er
y
e
f
f
ic
ien
t
l
y
.
C
r
o
s
s
la
y
er
in
g
b
et
w
ee
n
r
o
u
ti
n
g
,
M
AC
an
d
p
h
y
s
ical
la
y
er
is
d
o
n
e
i
n
o
r
d
er
to
co
n
s
id
er
m
u
lti
p
r
io
r
it
y
tr
a
f
f
ic.
1
0
0
n
o
d
es
ar
e
r
an
d
o
m
l
y
d
is
tr
ib
u
ted
i
n
a
s
q
u
ar
e
ar
ea
.
Si
m
u
latio
n
is
ca
r
r
ied
o
u
t
f
o
r
5
0
Seco
n
d
s
.
I
n
itial
e
n
er
g
y
o
f
t
h
e
n
o
d
es
w
a
s
1
0
0
J
o
u
les.
Si
m
u
latio
n
i
s
ca
r
r
ied
o
u
t
af
ter
clu
s
ter
i
n
g
.
Di
f
f
er
en
t
p
er
f
o
r
m
a
n
ce
m
etr
ics
ar
e
ta
k
e
n
in
to
co
n
s
id
er
atio
n
:
P
ac
k
et
d
eliv
er
y
r
atio
,
T
h
r
o
u
g
h
p
u
t
a
n
d
Nu
m
b
er
o
f
p
ac
k
ets
d
r
o
p
p
ed
.
R
o
u
tin
g
p
ac
k
et
s
i
n
cl
u
d
es
co
n
tr
o
l
p
ac
k
ets
w
h
ic
h
ar
e
u
s
ed
f
o
r
r
o
u
t
d
is
co
v
er
y
,
r
o
u
t
e
m
ai
n
te
n
an
ce
a
n
d
p
h
er
o
m
o
n
e
u
p
d
atio
n
.
Net
w
o
r
k
is
m
o
d
er
atel
y
lo
ad
e
d
.
T
w
o
tr
af
f
ic
cla
s
s
es
ar
e
p
r
o
d
u
ce
d
:
m
u
lti
m
ed
ia
tr
a
f
f
ic
w
it
h
a
s
ize
o
f
1
0
2
4
b
y
te
p
ac
k
et
s
an
d
s
ca
lar
tr
af
f
ic
h
a
v
in
g
s
ize
o
f
3
2
b
y
t
e
p
ac
k
ets.
Mu
l
ti
m
ed
ia
tr
af
f
ic
h
as
h
ig
h
er
p
r
io
r
it
y
th
an
s
ca
lar
tr
af
f
ic.
Fig
1
s
h
o
w
s
s
i
m
u
la
tio
n
ti
m
e
v
s
p
ac
k
e
t
d
eliv
er
y
r
atio
o
f
An
tSen
s
eNe
t
p
r
o
to
co
l
an
d
An
t
b
ased
cr
o
s
s
la
y
er
p
r
o
to
co
l.
I
t
is
co
n
s
tan
t
f
o
r
d
if
f
er
en
t
s
i
m
u
latio
n
ti
m
e
as
w
ell
as
f
o
r
d
if
f
er
en
t
co
v
er
ag
e
r
an
g
es.
P
ac
k
et
d
eliv
er
y
r
atio
is
b
etter
f
o
r
an
t
b
ased
cr
o
s
s
la
y
er
p
r
o
to
co
l th
a
n
th
e
An
t
Sen
s
eNe
t p
r
o
to
co
l.
T
h
is
r
esu
lt
is
o
b
tain
ed
d
u
e
to
t
w
o
lev
el
s
c
h
ed
u
l
in
g
th
at
h
a
s
b
ee
n
u
s
ed
.
T
h
is
t
w
o
lev
e
l
s
ch
ed
u
li
n
g
av
o
id
s
co
llis
io
n
s
an
d
m
i
n
i
m
i
ze
s
th
e
in
ter
f
er
en
ce
also
.
A
ls
o
d
u
e
to
th
e
m
u
ltip
ath
tr
a
n
s
m
is
s
io
n
t
h
is
r
atio
is
i
m
p
r
o
v
ed
.
Du
e
to
th
e
cl
u
s
ter
i
n
g
p
r
o
ce
s
s
lin
k
f
ailu
r
e
i
s
m
i
n
i
m
ized
an
d
co
v
er
ag
e
h
as b
ee
n
in
cr
ea
s
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
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n
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1
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A
p
r
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306
S
m
all
v
ar
iatio
n
in
t
h
e
p
ac
k
et
d
eliv
er
y
r
atio
i
s
o
b
s
er
v
ed
if
t
h
e
n
u
m
b
er
o
f
n
o
d
es is
i
n
cr
ea
s
ed
d
u
e
to
th
e
in
cr
ea
s
ed
n
et
w
o
r
k
o
v
er
h
ea
d
.
P
ac
k
et
d
eliv
er
y
r
atio
o
f
An
t
b
ased
cr
o
s
s
lay
er
r
o
u
tin
g
p
r
o
to
co
l
is
im
p
r
o
v
ed
co
m
p
ar
ed
to
An
tSe
n
s
eNe
tp
r
o
to
co
l.
T
h
is
ca
n
b
e
o
b
s
er
v
ed
f
o
r
m
F
i
g
u
r
e
1
,
2
an
d
3
.
Fig
u
r
e
1
.
Si
m
u
latio
n
v
s
P
ac
k
e
t D
eliv
er
y
R
atio
Fig
u
r
e
2
.
C
o
v
er
ag
e
v
s
P
ac
k
et
Deliv
er
y
R
atio
Fig
u
r
e
3
.
No
d
e
v
s
P
ac
k
et
Deli
v
er
y
R
atio
0
20
40
60
80
1
0
0
1
0
0
1
5
0
2
0
0
2
5
0
3
0
0
Pa
c
k
e
t
D
e
l
i
v
e
r
y
R
a
t
i
o
%
S
i
m
u
l
a
t
i
o
n
T
i
m
e
S
im
u
la
t
io
n
t
im
e
v
s
P
ac
k
e
t
De
li
v
e
r
y
Rat
io
A
n
t
S
e
n
seNe
t
C
r
o
ss L
a
y
e
r
e
d
A
n
t
S
e
n
seNe
t
0
20
40
60
80
1
0
0
1
2
0
1
5
0
1
7
5
2
0
0
2
5
0
2
7
5
Pa
c
k
e
t
D
e
l
i
v
e
r
y
R
a
t
i
o
%
C
o
v
e
r
a
g
e
Cov
e
r
age
v
s
P
ac
k
e
t
De
li
v
e
r
y
Rat
io
A
n
t
S
e
n
seNe
t
C
r
o
ss L
a
y
e
r
e
d
A
n
t
S
e
n
seNe
t
0
20
40
60
80
1
0
0
50
60
70
80
90
1
0
0
Pa
c
k
e
t
D
e
l
i
v
e
r
y
R
a
t
i
o
%
N
o
.
o
f
N
o
d
e
s
No. of
Nod
e
s v
s
P
ac
k
e
t
De
li
v
e
r
y
Rat
io
A
n
t
S
e
n
seNe
t
C
r
o
ss L
a
y
e
r
e
d
A
n
t
S
e
n
seNe
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
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N:
2502
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4752
Tit
le
o
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a
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u
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crip
t is sh
o
r
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n
d
clea
r
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imp
lies
r
esea
r
ch
r
esu
l
ts
(
F
i
r
s
t A
u
th
o
r
)
307
Fig
u
r
e
4
.
Si
m
u
latio
n
ti
m
e
v
s
T
h
r
o
u
g
h
p
u
t
Ou
r
p
r
o
p
o
s
ed
p
r
o
to
c
o
l
ac
h
iev
es
h
i
g
h
er
t
h
r
o
u
g
h
p
u
t
as
s
h
o
wn
in
t
h
e
f
i
g
u
r
e
4
,
5
an
d
6
.
T
h
i
s
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[1
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L
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in
tero
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m
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[3
]
T
a
m
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h
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ra
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A
.
,
S
e
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th
a
i,
J.J.,
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,
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.
[4
]
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K.,
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,
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.
[6
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Zara
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p
p
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[8
]
Y.
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Zan
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:
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to
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(
1
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(
2
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)
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3
.
[9
]
T
o
o
r,
A
.
S
.
,
Ja
in
,
A
.
K.,
“
A
su
rv
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to
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o
f
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6
,
Iss
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e
1
,
2
0
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7
,
p
p
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6
2
-
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9
.
B
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RAP
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AUTH
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n
d
ia.
R
esear
ch
i
n
ter
est
s
ar
e
in
co
m
m
u
n
icat
io
n
an
d
w
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ele
s
s
m
u
l
ti
m
ed
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s
en
s
o
r
n
et
w
o
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k
.
P
o
s
tal
A
d
d
r
ess
: H
.
N
o
.
4
5
4
,
Kan
ak
ad
it
y
a
P
r
asad
,
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h
in
a
v
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g
ar
,
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ast
San
g
av
i,
P
u
n
e
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4
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h
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h
.
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a
n
d
w
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k
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g
a
s
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r
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f
ess
o
r
&
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d
o
f
E
lectr
o
n
ics
&
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o
m
m
u
n
ica
tio
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E
n
g
in
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r
i
n
g
Dep
ar
t
m
en
t
in
Kar
p
ag
a
m
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ca
d
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m
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o
f
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h
er
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d
u
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tio
n
,
C
o
i
m
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ato
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e,
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a
m
il
n
ad
u
,
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n
d
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esear
c
h
i
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ter
est
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ar
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i
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ag
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p
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s
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m
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te
m
s
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L
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d
w
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r
eless
n
e
t
w
o
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k
s
.
P
o
s
tal
A
d
d
r
ess
:
P
o
llach
i
Ma
in
R
o
ad
,
L
&
T
B
y
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ass
R
o
ad
J
u
n
ctio
n
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ac
h
an
ar
i
P
o
s
t,
E
ac
h
a
n
ar
i,
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o
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m
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ato
r
e,
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am
il Na
d
u
6
4
1
0
2
1
.
A
p
ar
n
a
P
r
ad
ee
p
L
at
u
r
k
ar
,
M.
E
.
(
E
lectr
o
n
ics)
an
d
w
o
r
k
i
n
g
a
s
A
s
s
is
ta
n
t
P
r
o
f
es
s
o
r
in
P
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S’
s
Mo
d
er
n
C
o
lle
g
e
o
f
E
n
g
i
n
ee
r
i
n
g
,
P
u
n
e,
Ma
h
ar
as
h
tr
a,
I
n
d
ia.
R
esear
c
h
in
ter
est
s
ar
e
in
co
m
m
u
n
icatio
n
an
d
w
ir
ele
s
s
s
e
n
s
o
r
n
et
w
o
r
k
.
P
o
s
tal
A
d
d
r
ess
:
F
lat
No
.
3
0
1
,
A
VAL
O
N,
S,
No
.
1
8
/1
,
1
9
,
2
0
/3
,
Nea
r
Fire
B
r
ig
ad
e,
Su
n
C
it
y
R
o
ad
,
Of
f
Sin
h
g
ad
R
o
ad
,
W
ad
g
ao
n
B
u
d
r
u
k
,
P
u
n
e
–
4
1
1
0
5
1
.
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