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F
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Hen
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ap
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[
1
6
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1
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Fo
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m
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s
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s
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[
2
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.
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[
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m
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lo
s
s
ex
p
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d
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ch
q
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u
ca
n
h
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f
ill r
ate
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itio
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tag
e
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n
th
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p
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et
w
o
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.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
is
s
ec
tio
n
e
n
tail
s
th
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et
h
o
d
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lo
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s
ed
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t
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ap
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a
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ief
d
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et
w
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k
s
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m
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lato
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2
an
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s
co
m
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a
L
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n
u
x
o
p
er
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g
s
y
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te
m
p
latf
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m
.
T
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m
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p
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r
p
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f
th
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m
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lato
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s
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ca
l
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t
w
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s
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w
id
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n
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t
w
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s
.
T
h
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n
et
w
o
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s
i
m
u
lato
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(
v
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s
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2
)
is
a
s
cr
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t
in
ter
p
r
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w
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OT
cl
an
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++
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ch
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ler
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o
m
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its
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aj
o
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co
m
p
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n
e
n
ts
.
T
h
e
u
s
er
w
r
i
tes
a
n
OT
cl
s
cr
ip
t
to
b
u
ild
an
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s
c
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s
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n
et
w
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to
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b
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s
in
g
t
h
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w
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b
j
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p
l
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m
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in
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f
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o
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lib
r
ar
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tr
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af
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itt
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p
a
ck
ets
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t
h
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e
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t
s
ch
ed
u
ler
.
T
h
e
ter
m
"
p
lu
m
b
in
g
"
is
u
s
ed
to
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et
u
p
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,
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ce
s
ett
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t to
an
ap
p
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p
r
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o
b
j
ec
t'
s
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d
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.
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o
th
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co
m
p
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n
t
o
f
th
e
n
e
t
w
o
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k
s
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m
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lato
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is
th
e
ev
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n
t
s
c
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ed
u
ler
a
n
d
t
h
is
is
s
h
o
w
n
i
n
F
ig
u
r
e
4
.
I
n
th
e
e
v
e
n
t
q
u
e
u
e
s
c
h
ed
u
led
f
o
r
th
e
cu
r
r
e
n
t
ti
m
e,
th
e
ev
e
t
s
c
h
ed
u
ler
k
ee
p
s
t
h
e
s
i
m
u
lat
io
n
ti
m
e
r
ec
o
r
d
f
i
lin
g
a
ll
ev
en
t
s
.
A
n
e
v
en
t
i
s
a
p
ac
k
et
I
D
th
at
is
u
n
iq
u
e
to
a
p
ac
k
et
w
it
h
a
s
ch
ed
u
led
ti
m
e
a
n
d
also
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en
tit
y
t
h
a
t
m
an
a
g
e
s
t
h
e
e
v
e
n
t
.
T
h
e
lo
ad
b
alan
ce
r
:
T
h
e
lo
ad
b
alan
ce
r
i
s
a
m
aj
o
r
co
m
p
o
n
en
t
w
h
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h
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s
at
th
e
co
r
e
o
f
th
e
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et
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k
s
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m
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an
d
it
is
r
esp
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n
s
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le
f
o
r
th
e
d
is
tr
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u
tio
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o
f
in
co
m
in
g
tr
af
f
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r
eq
u
est
an
d
th
is
is
d
o
n
e
b
y
b
alan
cin
g
ap
p
licati
o
n
r
eq
u
e
s
t
ac
r
o
s
s
m
u
ltip
le
s
er
v
er
s
.
I
t
i
m
p
r
o
v
es
th
e
o
v
er
all
ap
p
licatio
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r
esp
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n
s
i
v
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s
s
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
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n
esia
n
J
E
lec
E
n
g
&
C
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m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
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2
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2
1
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898
3.
RE
SU
L
T
S
A
ND
D
IS
CU
SS
I
O
N
3
.
1
.
Si
m
ula
t
io
n
s
ce
na
rio
s
Du
r
in
g
t
h
e
s
i
m
u
la
tio
n
,
t
w
o
tr
af
f
ic
s
ce
n
ar
io
s
w
er
e
co
n
s
id
er
ed
.
T
h
is
m
ad
e
it
p
o
s
s
ib
le
to
s
tu
d
y
t
h
e
b
eh
av
io
r
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f
th
e
s
c
h
ed
u
ler
s
u
n
d
er
t
h
e
s
a
m
e
an
d
d
i
f
f
er
en
t
p
ac
k
e
t
s
ize
d
is
tr
ib
u
tio
n
s
.
T
h
e
i
m
p
le
m
en
ted
s
ch
ed
u
lin
g
a
lg
o
r
it
h
m
s
s
i
m
u
la
ted
ar
e
s
tr
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w
eig
h
ted
r
o
u
n
d
-
ro
b
in
a
s
i
n
F
ig
u
r
e
4
.
F
ig
u
r
e
5
an
d
6
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Evaluation Warning : The document was created with Spire.PDF for Python.
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N:
2502
-
4752
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va
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tio
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f lo
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r
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Olu
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901
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F
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R
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NC
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S
[1
]
J.
M
o
a
n
d
J.
W
a
lran
d
,
“
F
a
ir
e
n
d
-
to
-
e
n
d
w
in
d
o
w
-
b
a
se
d
c
o
n
g
e
stio
n
c
o
n
tro
l,
”
IEE
E
/A
CM
T
ra
n
s.
Ne
tw
o
rk
in
g
,
v
o
l.
8
,
n
o
.
5
,
p
p
.
5
5
6
-
5
6
7
,
2
0
0
0
.
[2
]
S
.
P
.
Bo
y
d
a
n
d
L
.
V
a
n
d
e
n
b
e
rg
h
e
,
Co
n
v
e
x
Op
ti
miz
a
ti
o
n
,
Ca
m
b
rid
g
e
Un
iv
e
rsit
y
P
re
ss
,
2
0
0
4
.
[3
]
M
.
Ka
tev
e
n
is,
S
.
S
id
iro
p
o
u
lo
s
,
a
n
d
C
.
Co
u
rc
o
u
b
e
ti
s
,
“
W
e
ig
h
ted
ro
u
n
d
r
o
b
i
n
c
e
ll
m
u
lt
ip
lex
in
g
in
a
g
e
n
e
ra
l
-
p
u
rp
o
se
AT
M
s
w
it
c
h
c
h
ip
,
”
IEE
E
j
o
u
rn
a
l
o
n
se
lec
ted
a
re
a
s
in
c
o
mm
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n
ic
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ti
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s
,
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l
.
9
,
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o
.
8
,
p
p
.
1
2
6
5
-
1
2
7
9
,
1
9
9
1
.
[4
]
A
.
Ch
a
rn
y
,
“
A
n
a
lg
o
rit
h
m
f
o
r
ra
te
a
ll
o
c
a
ti
o
n
in
a
p
a
c
k
e
t
-
s
w
it
c
h
in
g
n
e
tw
o
rk
w
it
h
fe
e
d
b
a
c
k
,
”
M
a
ste
r
’s
th
e
sis
,
M
a
ss
.
In
st.
T
e
c
h
n
o
l.
,
Ca
m
b
rid
g
e
,
M
A
,
1
9
9
4
.
[5
]
“
Ov
e
r
v
ie
w
o
f
W
irele
ss
Co
m
m
u
n
ica
ti
o
n
s
,
”
Ca
m
b
rid
g
e
.
o
rg
(a
c
c
e
s
se
d
F
e
b
.
8
,
2
0
0
8
)
.
[6
]
S
e
m
e
ria C.
,
“
S
u
p
p
o
rt
in
g
d
if
f
e
re
n
ti
a
ted
se
rv
ice
c
las
s
e
s
:
q
u
e
u
e
sc
h
e
d
u
li
n
g
Disc
ip
l
in
e
s
,
”
ju
n
i
p
e
r
n
e
tw
o
rk
s,
2
0
0
1
.
[7
]
J.
Ch
u
n
g
a
n
d
M
.
Clay
p
o
o
l,
“
NS
b
y
e
x
a
m
p
le,
”
W
o
rc
e
st
e
r
P
o
ly
tec
h
n
ic
In
stit
u
te
C
o
m
p
u
ter
S
c
ien
c
e
,
h
tt
p
:
//
n
i
le.w
p
i.
e
d
u
/NS
/
.
2
0
0
2
.
[8
]
D.
Ch
iu
a
n
d
R.
Ja
in
,
“
A
n
a
l
y
sis
o
f
th
e
in
c
re
a
se
a
n
d
d
e
c
re
a
se
a
lg
o
rit
h
m
s
f
o
r
c
o
n
g
e
stio
n
a
v
o
id
a
n
c
e
in
c
o
m
p
u
te
r
n
e
tw
o
rk
s,”
Co
mp
u
ter
Ne
two
rk
s IS
DN S
y
st
.,
v
o
l.
17,
p
p
.
1
-
14
,
1
9
8
9
.
[9
]
M
a
n
ish
a
n
d
R.
K.
C
h
e
e
m
a
,
“
A
M
in
-
M
a
x
a
p
p
r
o
a
c
h
t
o
p
e
rf
o
rm
lo
a
d
b
a
lan
c
in
g
i
n
d
istri
b
u
ted
n
e
tw
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rk
,
”
2
0
1
2
S
e
c
o
n
d
In
ter
n
a
t
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a
l
Co
n
fer
e
n
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n
Ad
v
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n
c
e
d
Co
mp
u
ti
n
g
&
Co
mm
u
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ica
t
io
n
T
e
c
h
n
o
l
o
g
ies
,
Ro
h
tak
,
Ha
r
y
a
n
a
,
p
p
.
2
0
0
-
2
0
3
,
2
0
1
2
.
[1
0
]
Y.
Be
jera
n
o
a
n
d
S
.
J.
Ha
n
,
“
C
e
ll
Bre
a
th
in
g
T
e
c
h
n
iq
u
e
s
f
o
r
Lo
a
d
Ba
lan
c
in
g
in
W
irele
s
s
LANs
,
”
Pro
c
.
IEE
E
INFOCOM
,
2
0
0
6
.
[1
1
]
I.
T
in
n
irello
a
n
d
G
.
Bian
c
h
i,
“
A
S
im
u
latio
n
S
tu
d
y
o
f
L
o
a
d
Ba
la
n
c
in
g
A
lg
o
rit
h
m
s
in
Ce
ll
u
lar
P
a
c
k
e
t
N
e
t
w
o
rk
s,”
M
S
W
IM
'
0
1
:
Pro
c
e
e
d
in
g
s o
f
t
h
e
4
th
ACM
in
ter
n
a
ti
o
n
a
l
w
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rk
sh
o
p
o
n
M
o
d
e
li
n
g
,
a
n
a
lys
is
a
n
d
simu
l
a
ti
o
n
o
f
wire
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s
a
n
d
mo
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il
e
sy
ste
ms
,
p
p
.
7
3
-
78
,
2
0
0
1
.
[1
2
]
J.
B.
Aw
o
tu
n
d
e
,
R.
O.
Og
u
n
d
o
k
u
n
,
F
.
E
.
Ay
o
,
G
.
I.
A
ja
m
u
,
E.
A
.
A
d
e
n
iy
i,
E.
O.
Og
u
n
d
o
k
u
n
,
“
S
o
c
ial
M
e
d
ia
A
c
c
e
p
tan
c
e
a
n
d
Us
e
Am
o
n
g
U
n
iv
e
rsity
S
tu
d
e
n
ts
f
o
r
L
e
a
rn
in
g
P
u
r
p
o
se
Us
in
g
UT
AU
T
M
o
d
e
l
A
d
v
a
n
c
e
s
”
in
In
telli
g
e
n
t
S
y
ste
ms
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n
d
Co
mp
u
ti
n
g
,
p
p
.
9
1
-
1
0
2
,
2
0
2
0
.
[1
3
]
V
.
P
riy
a
,
C.
S.
Ku
m
a
r,
a
n
d
R.
Ka
n
n
a
n
,
“
Re
so
u
rc
e
sc
h
e
d
u
li
n
g
a
lg
o
rit
h
m
w
it
h
lo
a
d
b
a
lan
c
in
g
f
o
r
c
lo
u
d
se
rv
ice
p
ro
v
isio
n
in
g
,
”
A
p
p
l
ied
S
o
ft
Co
mp
u
ti
n
g
,
v
o
l
.
7
6
,
p
p
.
4
1
6
-
4
2
4
,
2
0
1
9
.
[1
4
]
M.
A
d
e
b
i
y
i,
F.
Ola
d
e
ji
,
S.
On
y
id
o
,
D.
Ori,
R.
Og
u
n
d
o
k
u
n
,
E.
A
d
e
n
i
y
i,
a
n
d
O.
O
k
e
so
la,
“
A
3
-
D
M
o
d
e
l
o
f
a
n
In
stit
u
t
io
n
a
l
L
o
c
a
ti
o
n
Na
v
ig
a
ti
o
n
S
y
ste
m
(N
a
v
il
o
c
)
,
”
A
Ca
se
S
tu
d
y
o
f
Co
v
e
n
a
n
t
Un
iv
e
rsity
.
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Civil
En
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
10
,
n
o
.
1
, p
p
.
7
4
6
-
7
5
6
,
2
0
1
9
.
[1
5
]
R.
O.
Og
u
n
d
o
k
u
n
,
e
t
a
l
.
,
“
Ev
a
lu
a
ti
o
n
o
f
th
e
sc
h
o
las
ti
c
p
e
rf
o
rm
a
n
c
e
o
f
stu
d
e
n
ts
i
n
1
2
p
r
o
g
ra
m
s
f
ro
m
a
p
riv
a
te
u
n
iv
e
rsity
in
th
e
so
u
th
-
w
e
st g
e
o
p
o
li
ti
c
a
l
z
o
n
e
in
Nig
e
ria
,”
F1
0
0
0
R
e
se
a
rc
h
,
v
o
l.
8
,
2
0
1
9
.
[1
6
]
M.
A
n
e
d
d
a
,
G
.
M
.
M
u
n
tea
n
,
a
n
d
M
.
M
u
rr
o
n
i
,
“
A
d
a
p
ti
v
e
re
a
l
-
ti
m
e
m
u
lt
i
-
u
se
r
a
c
c
e
ss
n
e
t
w
o
rk
se
le
c
ti
o
n
a
lg
o
r
it
h
m
f
o
r
lo
a
d
-
b
a
lan
c
in
g
o
v
e
r
h
e
tero
g
e
n
e
o
u
s
w
irele
ss
n
e
t
w
o
rk
s
,”
i
n
2
0
1
6
IEE
E
In
ter
n
a
ti
o
n
a
l
S
y
mp
o
si
u
m
o
n
Bro
a
d
b
a
n
d
M
u
lt
ime
d
ia
S
y
ste
ms
a
n
d
Bro
a
d
c
a
stin
g
(
BM
S
B)
,
p
p
.
1
-
4
,
2
0
1
6
.
[1
7
]
G
.
S
c
a
g
li
o
n
e
,
U.S
.
P
a
ten
t
8
,
3
3
9
,
9
5
1
,
2
0
1
2
.
[1
8
]
M.
A
d
h
ik
a
ri,
S.
Na
n
d
y
,
a
n
d
T
.
Am
g
o
th
,
“
M
e
ta
h
e
u
risti
c
-
b
a
se
d
t
a
sk
d
e
p
lo
y
m
e
n
t
m
e
c
h
a
n
ism
f
o
r
lo
a
d
b
a
lan
c
i
n
g
in
Ia
a
S
c
lo
u
d
,
”
J
o
u
r
n
a
l
o
f
Ne
tw
o
rk
a
n
d
Co
m
p
u
ter
A
p
p
li
c
a
ti
o
n
s
,
v
o
l
.
1
2
8
,
p
p
.
64
–
77
,
2
0
1
9
.
[1
9
]
K.
M
ish
ra
a
n
d
S
.
M
a
jh
i,
“
A
S
tate
-
of
-
A
rt
o
n
Cl
o
u
d
L
o
a
d
B
a
lan
c
in
g
A
lg
o
rit
h
m
s,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
mp
u
t
in
g
a
n
d
Dig
it
a
l
S
y
ste
ms
,
v
o
l.
9
,
n
o
.
2
,
p
p
.
2
0
1
-
2
2
0
,
2
0
2
0
.
[2
0
]
M.
Ka
ty
a
l
a
n
d
A
.
M
ish
ra
,
“
A
c
o
m
p
a
ra
ti
v
e
stu
d
y
o
f
lo
a
d
b
a
lan
c
in
g
a
lg
o
rit
h
m
s
in
c
lo
u
d
c
o
m
p
u
ti
n
g
e
n
v
iro
n
m
e
n
t,
”
a
rX
iv
p
re
p
ri
n
t
a
r
X
iv
:
1
4
0
3
.
6
9
1
8
,
2
0
1
4
.
[2
1
]
S.
Ra
y
a
n
d
A
.
De
S
a
rk
a
r,
“
Ex
e
c
u
ti
o
n
a
n
a
ly
sis
o
f
lo
a
d
b
a
lan
c
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