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T
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d
ir
ec
tio
n
s
.
2.
RP
L
(
RO
UT
I
NG
P
RO
T
O
C
O
L
F
O
R
L
O
W
P
O
WE
R
A
N
D
L
O
SS
Y
N
E
T
WO
RK
S)
I
N
L
I
T
E
R
AT
U
RE
R
P
L
s
u
p
p
o
r
t
m
es
h
an
d
h
ier
ar
ch
ical
to
p
o
lo
g
y
b
y
co
n
s
id
er
in
g
r
o
u
tin
g
th
r
o
u
g
h
b
ac
k
u
p
s
ib
l
in
g
s
/p
ar
en
t
w
h
e
n
n
ee
d
ed
b
ased
o
n
co
n
ce
p
t
o
f
“
D
OD
A
G
(
Des
tin
a
tio
n
o
r
ien
ted
d
ir
ec
ted
ac
y
clic
g
r
ap
h
)
”.
A
c
y
clic
p
r
o
p
er
t
y
h
elp
s
to
ac
h
ie
v
e
lo
o
p
f
r
ee
n
et
w
o
r
k
s
in
g
r
ap
h
.
R
P
L
s
u
p
p
o
r
t
s
all
th
r
ee
tr
af
f
ic
t
y
p
e
s
i.e
.
P
2
M
P
(
p
o
in
t
to
m
u
ltip
o
in
t
)
in
ter
m
s
o
f
d
o
w
n
w
ar
d
r
o
u
tes,
MP
2
P
(
m
u
ltip
o
in
t
to
p
o
in
t
)
u
s
in
g
u
p
w
ar
d
r
o
u
tes
to
w
ar
d
s
L
B
R
an
d
P
2
P (
p
o
in
t to
p
o
in
t)
f
o
r
b
o
th
tr
an
s
m
is
s
io
n
t
y
p
e
li
k
e
u
n
ica
s
t a
n
d
m
u
lt
icast.
R
P
L
ca
teg
o
r
ized
n
o
d
es
in
th
r
e
e
w
a
y
s
.
1
)
L
B
R
(
L
o
w
p
o
wer
an
d
lo
s
s
y
b
o
r
d
er
r
o
u
ter
)
a
ls
o
ca
lled
DOD
A
G
r
o
o
t
o
r
s
in
k
n
o
d
e
as
s
h
o
w
n
i
n
Fi
g
u
r
e
1
w
h
ic
h
ac
ts
as
g
ate
w
a
y
b
et
w
ee
n
in
ter
n
et
an
d
L
L
N
n
et
w
o
r
k
s
.
I
t
h
as
a
p
r
o
p
er
t
y
to
g
e
n
er
ate
n
e
w
D
OD
A
G
o
r
it
s
d
if
f
er
en
t
v
er
s
io
n
s
.
2
)
R
o
u
ter
s
w
h
ic
h
is
u
s
ed
f
o
r
f
o
r
w
ar
d
in
g
an
d
g
en
er
ati
n
g
tr
af
f
ic.
3
)
Ho
s
t
also
ca
lled
leaf
n
o
d
e
o
r
en
d
d
ev
ice
(
in
d
icate
d
b
y
3
an
d
4
in
DOD
A
G1
an
d
3
in
DOD
A
G2
)
w
h
ic
h
i
s
ca
p
ab
le
o
f
o
n
l
y
g
e
n
er
ati
n
g
tr
a
f
f
ic.
As
s
h
o
w
n
i
n
F
ig
u
r
e
1
th
er
e
ar
e
t
w
o
DOD
AG
(
DODA
G1
,
DOD
A
G2
)
w
h
ic
h
co
m
b
in
e
s
as
o
n
e
R
P
L
i
n
s
tan
ce
u
n
iq
u
el
y
id
e
n
ti
f
ied
b
y
R
P
L
I
n
s
ta
n
ce
I
D.
No
d
es
m
a
y
b
elo
n
g
to
m
u
ltip
le
in
s
tan
ce
s
b
u
t
s
h
o
u
ld
r
e
m
ai
n
i
n
o
n
e
DOD
A
G
at
a
ti
m
e
w
it
h
i
n
i
n
d
iv
id
u
al
in
s
ta
n
ce
[
6
]
.
E
ac
h
n
o
d
e
i
n
DOD
AG
is
d
if
f
er
en
tia
ted
w
it
h
r
an
k
w
h
ic
h
d
ef
in
e
s
n
o
d
es
in
d
i
v
id
u
al
p
o
s
i
tio
n
an
d
p
at
h
to
it
s
L
B
R
.
R
a
n
k
v
al
u
es
i
n
cr
ea
s
es
w
h
e
n
y
o
u
m
o
v
e
i
n
d
o
w
n
w
ar
d
d
ir
ec
tio
n
f
o
r
m
s
i
n
k
n
o
d
e.
R
an
k
is
co
m
p
u
ted
b
ased
o
n
o
b
j
ec
tiv
e
f
u
n
ctio
n
(
OF (
0
)
an
d
MRHO
F)
[
7
-
9
]
.
Fig
u
r
e
1
.
R
P
L
c
o
n
ce
p
ts
/
ter
m
i
n
o
lo
g
y
2
.
1
.
RP
L
DO
DAG
co
ns
t
ruct
io
n
I
t
s
u
p
p
o
r
ts
t
w
o
r
o
u
te
f
o
r
m
atio
n
.
MP
2
P
tr
af
f
ic
is
s
u
p
p
o
r
ted
u
s
in
g
u
p
w
ar
d
r
o
u
tes
w
it
h
t
h
e
h
elp
o
f
DI
O
an
d
DI
S
m
e
s
s
a
g
es
[
1
0
]
f
o
r
b
o
th
g
r
o
u
n
d
ed
a
n
d
f
lo
atin
g
n
o
d
e.
P
2
MP
an
d
P
2
P
tr
af
f
ic
is
s
u
p
p
o
r
ted
u
s
i
n
g
d
o
w
n
w
ar
d
r
o
u
te
s
w
i
th
t
h
e
h
elp
o
f
D
AO
m
es
s
ag
e.
I
t
ca
r
r
ies
o
u
t
b
o
th
r
o
u
te
f
o
r
m
atio
n
w
i
th
th
e
h
e
lp
o
f
n
eig
h
b
o
r
d
is
co
v
er
y
p
r
o
to
co
l
w
h
ich
h
elp
s
i
n
lo
ca
l r
ep
air
in
ter
n
all
y
[
1
1
]
.
2
.
1
.
1
.
Upw
a
rd
ro
ute
Gr
o
u
n
d
ed
n
o
d
e
ac
ti
n
g
as
L
B
R
o
r
s
i
n
k
n
o
d
e
b
r
o
ad
ca
s
t
DI
O
w
h
ich
co
n
tai
n
s
n
ec
e
s
s
ar
y
i
n
f
o
r
m
atio
n
lik
e
R
P
L
I
n
s
ta
n
ce
I
D,
o
b
j
e
ctiv
e
f
u
n
ctio
n
(
OF
(
0
)
o
r
M
R
H
OF
)
,
v
er
s
io
n
,
tr
ic
k
le
ti
m
er
[
1
2
]
in
f
o
r
m
atio
n
an
d
o
th
er
p
ar
am
eter
s
r
eq
u
ir
ed
f
o
r
ca
lcu
lati
n
g
r
an
k
to
its
n
eig
h
b
o
u
r
s
.
I
f
th
e
n
o
d
e
w
illi
n
g
to
j
o
in
DOD
A
G
r
ec
ei
v
e
DI
O
m
e
s
s
a
g
e
f
o
r
f
ir
s
t
ti
m
e
it
ad
d
s
its
ad
d
r
ess
to
p
ar
en
t
li
s
t
an
d
co
m
p
u
te
r
an
k
a
s
p
er
p
r
escr
ib
ed
o
b
j
ec
tiv
e
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
R
P
L ro
u
tin
g
p
r
o
to
co
l
p
erfo
r
ma
n
ce
u
n
d
er si
n
kh
o
le
a
n
d
s
elec
tive
fo
r
w
a
r
d
in
g
a
tta
ck
… (
B
im
a
l H
.
P
a
tel
)
1851
f
u
n
ctio
n
an
d
th
e
n
m
u
lt
icast
u
p
d
ated
DI
O
m
ess
a
g
e
to
o
th
er
s
.
I
f
a
n
o
d
e
w
h
ic
h
is
alr
ea
d
y
p
ar
t
o
f
DODA
G
r
ec
eiv
es
DI
O
it
d
is
ca
r
d
s
o
r
p
r
o
ce
s
s
it
b
y
an
a
l
y
s
i
n
g
m
en
t
io
n
ed
cr
iter
ia.
B
ased
o
n
cr
iter
ia
if
n
o
d
e’
s
n
e
w
r
an
k
is
less
t
h
a
n
o
ld
r
an
k
it
ch
a
n
g
es
it
r
an
k
a
n
d
u
p
d
ates
its
in
f
o
r
m
atio
n
to
av
o
id
lo
o
p
s
el
s
e
m
ai
n
tai
n
it
s
cu
r
r
e
n
t
p
o
s
itio
n
in
DOD
AG
[
1
3
,
1
4
]
.
I
f
f
lo
atin
g
n
o
d
e
w
an
t
s
to
j
o
in
DOD
A
G
it
m
u
ltica
s
t
DI
S
m
es
s
ag
e
to
n
ea
r
er
n
o
d
es.
Af
ter
r
ec
eiv
i
n
g
DI
S
m
ess
a
g
e
o
n
e
o
f
th
e
g
r
o
u
n
d
ed
n
o
d
es
s
en
d
u
n
ica
s
t
DI
O
m
e
s
s
a
g
e
b
ac
k
to
f
lo
atin
g
n
o
d
e
w
h
ic
h
s
elec
t a
p
p
r
o
p
r
iate
n
eig
h
b
o
r
o
r
p
r
ef
er
r
ed
p
ar
en
t to
jo
in
DOD
A
G
[
1
5
]
.
2
.
1
.
2
.
Do
w
nw
a
rd
r
o
ute
P
2
M
P
an
d
P
2
P
tr
af
f
ic
i
s
s
u
p
p
o
r
ted
b
y
d
o
w
n
w
ar
d
r
o
u
te
w
it
h
th
e
h
elp
o
f
D
AO
co
n
tr
o
l
m
es
s
ag
e.
R
P
L
u
s
e
s
t
w
o
m
o
d
e
s
o
f
o
p
er
atio
n
f
o
r
m
ai
n
tai
n
i
n
g
d
o
w
n
w
ar
d
r
o
u
tes
;
(a
)
Sto
r
in
g
m
o
d
e
i
n
w
h
ic
h
ev
er
y
r
o
u
ter
n
o
d
e
m
ai
n
tai
n
s
r
o
u
ti
n
g
i
n
f
o
r
m
atio
n
;
(b
)
No
n
-
s
to
r
in
g
m
o
d
e
i
n
w
h
ich
o
n
l
y
s
in
k
n
o
d
e
w
ill
h
av
e
r
o
u
tin
g
in
f
o
r
m
at
io
n
an
d
ac
ts
as
s
o
u
r
ce
n
o
d
e
to
s
en
d
tr
af
f
ic
in
f
o
r
m
atio
n
to
o
th
er
n
o
d
es
[
1
6
]
.
R
P
L
p
r
o
v
id
es
b
o
th
lo
ca
l
an
d
g
lo
b
al
r
ec
o
v
er
y
s
ch
e
m
es.
I
f
t
h
er
e
is
an
y
li
n
k
f
ail
u
r
e
b
et
w
ee
n
t
w
o
n
o
d
es
o
r
lo
o
p
is
g
en
er
ated
it
p
er
f
o
r
m
s
lo
ca
l
r
ep
air
w
it
h
t
h
e
h
elp
o
f
b
ac
k
u
p
p
ar
en
t,
r
an
k
a
n
d
n
ei
g
h
b
o
r
d
is
co
v
e
r
y
p
r
o
to
co
l.
Sin
ce
b
y
r
u
le
e
v
e
r
y
c
h
ild
w
i
ll
h
av
e
h
ig
h
er
r
an
k
co
m
p
ar
e
to
its
p
ar
en
t it
w
ill
n
e
v
er
f
o
r
m
lo
o
p
an
d
co
u
n
t to
in
f
i
n
it
y
p
r
o
b
le
m
w
ill
n
o
t o
cc
u
r
.
T
h
o
u
g
h
lo
ca
l r
ep
air
w
ill
n
o
t
lead
to
o
p
ti
m
al
p
ath
an
d
r
esu
lts
in
ter
m
s
o
f
q
u
alit
y
o
f
p
ar
a
m
e
ter
s
g
lo
b
al
r
ep
air
is
r
eq
u
ir
ed
b
y
i
n
cr
e
m
e
n
ti
n
g
DOD
AG
v
er
s
io
n
n
u
m
b
er
a
n
d
w
h
o
le
DOD
A
G
is
co
n
s
tr
u
cted
w
it
h
n
o
co
n
ce
r
n
to
p
r
ev
io
u
s
v
er
s
io
n
an
d
n
e
w
v
er
s
io
n
w
ill
h
av
e
o
p
ti
m
al
p
ath
f
o
r
r
ea
c
h
i
n
g
s
in
k
n
o
d
e
w
it
h
th
e
h
e
lp
o
f
r
an
k
as
p
ar
a
m
eter
b
y
co
n
s
id
er
in
g
v
ar
io
u
s
o
b
j
ec
tiv
e
f
u
n
ctio
n
s
.
3.
RO
UT
I
N
G
A
T
T
ACK
S A
G
AINS
T
RP
L
N
E
T
WO
RK
S
R
P
L
r
o
u
ti
n
g
p
r
o
to
co
l
f
o
r
6
L
o
W
P
A
N
d
u
e
to
its
p
r
o
p
er
ties
l
ik
e
li
m
ited
p
r
o
ce
s
s
i
n
g
p
o
w
er
,
ch
an
g
i
n
g
n
et
w
o
r
k
to
p
o
lo
g
y
i
n
ter
m
s
o
f
DOD
AG,
li
n
k
f
ai
lu
r
es
an
d
m
o
b
ilit
y
ar
e
p
r
o
n
e
to
v
ar
io
u
s
n
et
w
o
r
k
a
ttack
s
.
B
r
o
ad
ly
attac
k
s
ca
n
b
e
clas
s
i
f
ied
as
ex
ter
n
al
a
ttac
k
e
f
f
ec
t
ed
b
y
i
n
ter
n
et
(
e
x
a
m
p
le
b
r
u
t
e
f
o
r
ce
attac
k
an
d
m
al
w
ar
e
attac
k
)
an
d
in
ter
n
al
attac
k
s
d
u
e
t
o
w
ir
ele
s
s
s
e
n
s
o
r
n
et
w
o
r
k
s
[
1
7
,
1
8
]
.
A
g
ai
n
,
in
ter
n
al
at
tack
s
o
n
o
v
er
all
n
et
w
o
r
k
ca
n
b
e
ca
te
g
o
r
ized
as
attac
k
s
tar
g
eti
n
g
ex
h
a
u
s
tio
n
o
f
n
et
w
o
r
k
s
,
atta
ck
s
tar
g
eti
n
g
R
P
L
n
et
w
o
r
k
to
p
o
lo
g
y
a
n
d
attac
k
s
ag
ain
s
t
n
et
w
o
r
k
tr
af
f
ic.
I
n
t
h
i
s
p
ap
er
,
w
e
w
ill
f
o
cu
s
o
n
th
e
t
w
o
r
o
u
ti
n
g
at
tack
s
s
in
k
h
o
le
attac
k
a
n
d
s
elec
ti
v
e
f
o
r
w
ar
d
i
n
g
attac
k
a
n
d
i
n
f
u
r
t
h
er
s
ec
t
io
n
w
e
w
i
ll
e
v
al
u
ate
it
e
f
f
ec
t
o
n
p
o
w
er
co
n
s
u
m
p
tio
n
b
y
co
m
p
ar
in
g
it
w
it
h
n
o
r
m
al
s
ce
n
ar
io
.
3
.
1
.
Sin
k
ho
le
a
t
t
a
ck
I
n
s
i
n
k
h
o
le
attac
k
m
alicio
u
s
n
o
d
e
b
y
ar
t
if
ic
iall
y
c
h
an
g
i
n
g
r
a
n
k
s
o
m
e
w
h
at
h
i
g
h
er
th
a
n
b
o
r
d
er
r
o
u
ter
d
ec
eiv
es
le
g
it
i
m
a
te
n
o
d
es
to
g
et
attac
k
ed
to
w
ar
d
s
its
el
f
c
l
ai
m
i
n
g
b
etter
p
ath
an
d
lin
k
a
v
ailab
ilit
y
[
1
8
]
.
A
s
s
h
o
w
n
i
n
b
elo
w
Fi
g
u
r
e
2
le
f
t
h
an
d
s
id
e
s
h
o
w
s
n
o
r
m
al
s
ce
n
a
r
io
w
h
er
e
n
o
d
e
2
a
n
d
3
ca
n
b
e
r
ea
ch
ed
d
ir
ec
tl
y
to
s
in
k
n
o
d
e/b
o
r
d
er
r
o
u
ter
b
u
t
w
h
en
n
o
d
e
6
ad
v
er
tis
e
its
r
an
k
l
o
w
er
ar
tif
icia
ll
y
t
h
a
n
n
o
d
es
wh
ich
ar
e
i
n
v
ici
n
it
y
w
il
l
g
et
attr
ac
ted
to
w
ar
d
s
it.
All
n
o
d
es
2
,
3
,
5
,
7
,
9
an
d
1
0
w
ill
g
et
attr
ac
ted
to
w
ar
d
s
m
alicio
u
s
n
o
d
e
6
w
h
ic
h
is
sh
o
w
n
in
r
i
g
h
t
h
an
d
s
id
e
o
f
Fig
u
r
e
2
.
T
h
is
attac
k
is
m
o
r
e
d
ev
astati
n
g
a
n
d
ca
u
s
e
lar
g
er
n
et
w
o
r
k
p
r
o
b
lem
s
w
h
e
n
it is
co
m
b
i
n
ed
w
it
h
o
th
e
r
attac
k
s
[
1
9
]
.
Fig
u
r
e
2
.
No
r
m
al
to
Si
n
k
h
o
le
attac
k
s
ce
n
ar
io
3
.
2
.
Select
iv
e
f
o
r
w
a
rding
a
t
t
a
ck
As
n
a
m
e
s
u
g
g
est
t
h
is
attac
k
w
il
l
f
o
r
w
ar
d
co
n
tr
o
l
p
ac
k
ets
o
f
R
P
L
an
d
d
r
o
p
d
ata
p
ac
k
ets.
Selectiv
e
f
o
r
w
ar
d
attac
k
w
ill
w
o
r
k
i
n
tan
d
e
m
w
it
h
s
i
n
k
h
o
le
attac
k
an
d
ca
u
s
e
s
e
v
er
e
co
n
s
eq
u
e
n
ce
s
to
n
et
w
o
r
k
b
y
attr
ac
tin
g
n
o
d
es a
n
d
d
is
r
u
p
ti
n
g
r
o
u
ti
n
g
r
o
u
te
s
[
1
8
]
.
A
s
s
h
o
w
n
i
n
Fig
u
r
e
2
n
o
d
e
6
a
f
ter
attr
a
ctin
g
n
ea
r
b
y
n
o
d
es
eith
er
d
r
o
p
s
co
n
tr
o
l
p
ac
k
ets
o
r
d
ata
p
ac
k
ets
an
d
w
i
ll
n
o
t
f
o
r
w
ar
d
to
leg
iti
m
ate
n
o
d
e
o
r
to
b
o
r
d
er
r
o
u
ter
[
1
9
]
.
Ov
er
all
f
lo
w
c
h
ar
t
d
escr
ib
in
g
i
m
p
le
m
en
ta
tio
n
s
ce
n
ar
io
is
s
h
o
w
n
i
n
b
elo
w
Fig
u
r
e
3
.
Her
e
w
e
ar
e
g
o
in
g
to
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
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6930
T
E
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KOM
NI
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o
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u
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p
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C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
18
49
-
1
8
5
6
1852
co
m
p
ar
e
n
o
r
m
al
ca
s
e
a
n
d
b
y
b
u
tto
n
cl
ick
ev
e
n
t
m
alic
io
u
s
b
eh
av
io
r
is
ac
ti
v
ated
an
d
f
i
n
a
ll
y
i
n
ter
m
s
p
o
w
er
co
n
s
u
m
p
tio
n
b
o
th
s
ce
n
ar
io
s
i
s
co
m
p
ar
ed
[
2
0
]
.
Fig
u
r
e
3
.
I
m
p
le
m
e
n
tatio
n
s
ce
n
ar
io
o
f
R
P
L
attac
k
s
4.
SI
M
UL
AT
I
O
N
E
NV
I
RO
N
M
E
NT
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
R
P
L
p
r
o
to
co
l
h
as
b
ee
n
ev
a
lu
ated
a
n
d
a
n
al
y
ze
d
u
n
d
er
n
o
r
m
a
l
[
2
1
-
23
]
an
d
attac
k
s
ce
n
ar
io
(
Si
n
k
h
o
le
an
d
Selec
tiv
e
f
o
r
w
ar
d
in
g
attac
k
s
)
w
it
h
th
e
h
elp
o
f
w
id
el
y
u
s
ed
I
o
T
o
p
e
r
atin
g
s
y
s
te
m
C
o
n
ti
k
i
[
2
4
]
w
h
ile
s
i
m
u
lati
o
n
s
u
p
p
o
r
t
is
p
r
o
v
id
ed
b
y
C
o
o
j
a
[
2
5
]
.
Var
io
u
s
co
n
f
i
g
u
r
atio
n
p
ar
a
m
eter
s
co
n
s
id
er
ed
to
ca
r
r
y
o
u
t si
m
u
la
tio
n
is
s
h
o
w
n
in
T
ab
le
1.
T
ab
le
1
.
C
o
n
f
ig
u
r
atio
n
p
ar
a
m
eter
s
P
a
r
a
me
t
e
r
s
V
a
l
u
e
s
OS
C
o
n
t
i
k
i
O
S
3
.
0
M
o
t
e
T
y
p
e
Z
1
mo
t
e
N
u
mb
e
r
o
f
N
o
d
e
s
(
a
t
t
a
c
k
N
o
d
e
s)
5
n
o
d
e
s(
1
a
t
t
a
c
k
)
,
1
0
n
o
d
e
s(
2
a
t
t
a
c
k
)
,
2
0
n
o
d
e
s(
3
a
t
t
a
c
k
)
R
a
d
i
o
M
e
d
i
u
m
M
o
d
e
l
U
n
i
t
D
i
s
k
G
r
a
p
h
M
e
d
i
u
m (U
D
G
M
)
:
D
i
st
a
n
c
e
L
o
ss
N
o
d
e
s T
r
a
n
smisso
n
R
a
n
g
e
30
-
5
0
m
N
o
d
e
s
I
n
t
e
r
f
e
r
e
n
c
e
R
a
n
g
e
70
-
1
0
0
m
T
x
/
R
x
R
a
t
i
o
1
0
0
/
5
0
D
I
O
M
i
n
1
2
D
I
O
D
o
u
b
l
i
n
g
s
8
R
D
C
C
h
a
n
e
l
C
h
e
c
k
R
a
t
e
1
6
M
A
C
L
a
y
e
r
I
EEE
8
0
2
.
1
5
.
4
D
u
t
y
C
y
c
l
e
n
u
l
l
R
D
C
N
e
t
w
o
r
k
p
r
o
t
o
c
o
l
C
o
n
t
i
k
i
R
P
L
O
b
j
e
c
t
i
v
e
F
u
n
c
t
i
o
n
M
R
H
O
F
S
i
mu
l
a
t
i
o
n
T
i
me
S
c
e
n
a
r
i
o
1
:
4
5
mi
n
,
S
c
e
n
a
r
i
o
2
:
3
0
mi
n
,
S
c
e
n
a
r
i
o
3
:
2
0
m
i
n
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
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l
C
o
n
tr
o
l
R
P
L ro
u
tin
g
p
r
o
to
co
l
p
erfo
r
ma
n
ce
u
n
d
er si
n
kh
o
le
a
n
d
s
elec
tive
fo
r
w
a
r
d
in
g
a
tta
ck
… (
B
im
a
l H
.
P
a
tel
)
1853
T
o
g
et
m
ea
n
in
g
f
u
l r
esu
l
ts
t
h
r
ee
d
if
f
er
e
n
t sce
n
ar
io
s
is
co
n
s
id
er
ed
,
s
u
ch
as;
a.
Scena
rio
1
As
s
h
o
w
n
i
n
Fi
g
u
r
e
4
5
Z
1
m
o
tes
ar
e
co
n
s
id
er
ed
o
u
t
o
f
w
h
ich
1
m
o
te
w
il
l
ac
t
a
s
s
in
k
/b
o
r
d
er
m
o
te
,
1
m
o
te
w
il
l a
ct
as a
ttac
k
in
g
m
o
te
an
d
r
est 3
w
ill b
eh
a
v
e
n
o
r
m
all
y
.
b.
Scena
rio
2
Her
e
w
e
h
a
v
e
co
n
s
id
er
ed
1
0
m
o
tes
o
u
t
o
f
w
h
ic
h
2
m
o
te
s
ar
e
b
eh
av
in
g
ab
n
o
r
m
all
y
.
Fi
g
u
r
e
5
(
a
)
an
d
Fig
u
r
e
5
(
b
)
g
i
v
es
u
s
id
ea
ab
o
u
t
w
h
at
ar
e
th
e
o
t
h
er
m
o
tes
i
n
r
an
g
e
o
f
t
h
e
s
e
attac
k
i
n
g
m
o
t
es
9
an
d
1
0
w
h
ic
h
ar
e
g
ettin
g
a
f
f
ec
ted
.
c.
Scena
rio
3
T
o
g
et
ac
cu
r
ate
ef
f
ec
t
o
f
p
o
w
er
co
n
s
u
m
p
tio
n
o
n
v
ar
io
u
s
m
o
tes
d
u
e
to
attac
k
s
ce
n
ar
io
2
0
m
o
tes
ar
e
co
n
s
id
er
ed
o
u
t
o
f
w
h
ic
h
3
ar
e
m
i
s
b
eh
a
v
i
n
g
.
Fi
g
u
r
es
6
(
a)
,
(
b
)
an
d
(
c)
g
i
v
es
in
f
o
r
m
a
tio
n
ab
o
u
t
m
o
te
s
w
h
ic
h
ar
e
g
ettin
g
a
f
f
ec
ted
i
n
ter
m
s
o
f
p
o
w
er
d
u
e
to
attac
k
in
g
m
o
te
s
1
8
,
1
9
an
d
2
0
.
Fig
u
r
e
4
.
Scen
ar
io
1
(
5
m
o
tes
w
it
h
1
m
o
te
as
m
alic
io
u
s
)
(
a)
(
b
)
Fig
u
r
e
5
.
Scen
ar
io
2
(
1
0
m
o
tes
w
ith
2
m
alicio
u
s
b
eh
a
v
io
r
)
;
(
a)
m
o
te
9
r
an
g
e
an
d
(
b
)
m
o
te
10
r
an
g
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
18
49
-
1
8
5
6
1854
(
a)
(
b
)
(
c)
Fig
u
r
e
6
.
Scen
ar
io
3
(
2
0
m
o
tes
w
it
h
3
m
alic
io
u
s
b
e
h
av
io
u
r
)
;
(
a)
m
o
te
1
8
r
an
g
e
,
(
b
)
m
o
te
1
9
r
an
g
e
an
d
(
c)
m
o
te
2
0
r
an
g
e
5.
RE
SU
L
T
AND
DI
SCUS
SI
O
N
I
n
th
is
s
ec
t
io
n
w
e
in
v
esti
g
ate
an
d
co
m
p
ar
e
n
o
r
m
al
an
d
m
alicio
u
s
b
eh
a
v
io
r
o
f
all
th
r
ee
s
ce
n
ar
io
s
tak
i
n
g
i
n
to
ac
co
u
n
t
p
o
w
er
co
n
s
u
m
p
tio
n
o
f
m
o
tes
as
q
u
a
lit
y
o
f
s
er
v
ice
p
ar
a
m
eter
.
T
h
e
f
o
r
m
u
la
f
o
r
ca
lcu
lat
in
g
p
o
w
er
an
d
en
er
g
y
is
d
escr
ib
e
d
in
(
1
)
w
h
ic
h
tak
e
s
in
to
co
n
s
id
er
atio
n
ap
p
r
o
x
im
ate
c
u
r
r
en
t
co
n
s
u
m
p
tio
n
o
f
Z
1
m
o
tes cir
cu
its
[
2
6
].
E
n
e
r
gy
Us
a
ge
(
mJ
)
(
Z1
mote
)
=
(
(
17
.
4
mA
∗
tr
a
n
s
mit
+
18
.
8
mA
∗
l
iste
n
+
0
.
426
mA
∗
C
PU
+
0
.
02
∗
L
PM
)
∗
3V
)
4096
∗
8
Pow
e
r
C
on
s
umption
(
mW
)
=
En
e
r
g
y
Us
ag
e
(
mJ
)
T
i
m
e
(
s
)
(
1
)
Fo
r
s
ce
n
ar
io
1
as
y
o
u
ca
n
s
ee
f
r
o
m
Fi
g
u
r
e
4
th
at
2
an
d
3
ar
e
n
eig
h
b
o
r
in
g
n
o
d
es
w
h
ic
h
g
e
t
af
f
ec
ted
d
u
e
to
m
o
te
5
ac
ti
n
g
a
s
attac
k
n
o
d
e
(
s
in
k
h
o
le
a
n
d
s
elec
t
iv
e
f
o
r
w
ar
d
i
n
g
)
.
P
o
w
er
co
n
s
u
m
p
t
io
n
o
f
n
o
d
e
2
an
d
3
is
i
n
cr
ea
s
ed
co
m
p
ar
ed
to
n
o
r
m
al
s
ce
n
ar
io
i
s
s
h
o
w
n
i
n
F
ig
u
r
e
7
.
I
n
ter
m
s
o
f
p
er
ce
n
t
ag
e
n
o
d
e
5
p
o
w
er
co
n
s
u
m
p
tio
n
is
d
r
ain
ed
m
o
r
e
co
m
p
ar
e
to
n
o
r
m
al
ca
s
e
s
i
n
ce
all
tr
af
f
ic
g
et
s
attr
ac
ted
.
Fig
u
r
e
7
.
No
d
e
5
attac
k
s
ce
n
ar
io
Fo
r
s
ce
n
ar
io
2
as
y
o
u
ca
n
s
ee
f
r
o
m
Fi
g
u
r
e
5
(
a)
th
at
2
an
d
3
ar
e
n
eig
h
b
o
r
in
g
n
o
d
es
w
h
ic
h
g
et
af
f
ec
ted
d
u
e
to
m
o
te
9
ac
tin
g
as
attac
k
n
o
d
e
(
s
in
k
h
o
le
a
n
d
s
elec
tiv
e
f
o
r
w
ar
d
i
n
g
)
.
P
o
w
er
c
o
n
s
u
m
p
tio
n
o
f
n
o
d
e
2
an
d
3
is
in
cr
ea
s
ed
co
m
p
ar
ed
to
n
o
r
m
al
s
ce
n
ar
io
is
s
h
o
w
n
i
n
Fi
g
u
r
e
8
(
a)
.
No
d
e
2
p
o
w
er
is
co
n
s
u
m
ed
m
o
r
e
s
in
ce
it
i
s
n
ea
r
er
to
s
i
n
k
n
o
d
e
also
.
Fro
m
Fi
g
u
r
e
8
(
b
)
it
s
h
o
w
s
t
h
at
p
o
w
er
co
n
s
u
m
p
tio
n
o
f
n
o
d
e
8
an
d
7
is
in
cr
ea
s
ed
co
m
p
ar
ed
to
n
o
r
m
al
s
ce
n
ar
io
d
u
e
to
ef
f
ec
t
o
f
attac
k
o
n
m
o
te
1
0
.
I
n
ter
m
s
o
f
p
er
ce
n
tag
e
m
o
d
e
9
an
d
1
0
p
o
w
er
co
n
s
u
m
p
tio
n
is
m
o
r
e
co
m
p
ar
e
to
n
o
r
m
a
l c
ase
s
in
ce
all
tr
a
f
f
ic
g
et
s
attr
ac
ted
.
Fo
r
s
ce
n
ar
io
3
w
e
h
a
v
e
tr
ied
to
co
v
er
b
ig
g
er
p
ict
u
r
e
b
y
co
n
s
id
er
in
g
2
0
m
o
tes
as
y
o
u
ca
n
s
ee
f
r
o
m
Fig
u
r
e
6
(
a)
th
at
8
,
1
2
,
1
5
an
d
1
7
ar
e
n
eig
h
b
o
r
in
g
n
o
d
es
w
h
ich
g
et
a
f
f
ec
ted
d
u
e
to
m
o
te
1
8
ac
tin
g
as
attac
k
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
R
P
L ro
u
tin
g
p
r
o
to
co
l
p
erfo
r
ma
n
ce
u
n
d
er si
n
kh
o
le
a
n
d
s
elec
tive
fo
r
w
a
r
d
in
g
a
tta
ck
… (
B
im
a
l H
.
P
a
tel
)
1855
n
o
d
e
(
s
in
k
h
o
le
a
n
d
s
elec
ti
v
e
f
o
r
w
ar
d
i
n
g
)
.
P
o
w
er
co
n
s
u
m
p
tio
n
o
f
n
o
d
e
8
,
1
2
,
1
5
an
d
1
7
is
in
cr
ea
s
ed
co
m
p
ar
ed
to
n
o
r
m
al
s
ce
n
ar
io
is
s
h
o
w
n
in
Fi
g
u
r
e
9
(
b
)
.
Si
m
ilar
l
y
,
p
o
w
er
co
n
s
u
m
p
t
io
n
e
f
f
ec
t
o
f
n
eig
h
b
o
r
in
g
n
o
d
es
d
u
e
to
at
tack
o
f
m
o
te
1
9
an
d
2
0
is
s
h
o
w
n
i
n
Fi
g
u
r
e
s
9
(
a)
an
d
(
c)
.
I
t
ca
n
b
e
n
o
ted
t
h
at
e
f
f
ec
t
o
f
p
o
w
er
o
n
attac
k
m
o
te
s
d
u
e
to
s
in
k
h
o
le
attac
k
an
d
s
elec
t
f
o
r
w
ar
d
in
g
w
h
ic
h
is
f
ar
f
r
o
m
s
i
n
k
n
o
d
e
is
alm
o
s
t
s
a
m
e
(
1
8
an
d
1
9
m
o
te)
.
T
h
e
m
o
te
s
w
h
ic
h
ar
e
lo
ca
ted
b
elo
w
atta
ck
n
o
d
e
s
h
o
w
s
v
ar
y
i
n
g
r
esu
lt
s
in
ce
t
h
e
y
a
r
e
n
o
t
af
f
ec
ted
m
u
c
h
.
A
s
w
e
ca
n
s
ee
f
r
o
m
F
ig
u
r
e
9
(
c)
m
o
te
1
6
w
h
ich
is
i
n
v
ici
n
it
y
s
t
ill
i
s
n
o
t
a
f
f
ec
ted
m
u
c
h
d
u
e
to
attac
k
e
f
f
ec
t o
n
m
o
te
1
9
.
(
a)
(
b
)
Fig
u
r
e
8
.
E
f
f
ec
t o
f
P
o
w
er
co
n
s
u
m
p
tio
n
o
n
o
th
er
m
o
tes d
u
e
to
attac
k
m
o
te
s
;
(
a)
m
o
te
9
attac
k
s
ce
n
ar
io
an
d
(
b
)
m
o
te
1
0
attac
k
s
ce
n
ar
io
(
a)
(
b
)
(
c)
Fig
u
r
e
9
.
E
f
f
ec
t o
f
p
o
w
er
co
n
s
u
m
p
tio
n
o
n
v
icin
it
y
m
o
tes d
u
e
to
attac
k
m
o
tes
; (
a)
Mo
te
2
0
a
ttack
s
ce
n
ar
io
,
(
b
)
Mo
te
1
8
attac
k
s
ce
n
ar
io
an
d
(
c)
Mo
te
1
9
attac
k
s
ce
n
ar
io
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
18
49
-
1
8
5
6
1856
6.
CO
NCLU
SI
O
N
AND
F
U
T
U
RE
WO
RK
T
h
is
p
ap
er
c
o
m
p
ar
es
n
o
r
m
al
an
d
attac
k
s
ce
n
ar
io
u
s
i
n
g
th
r
e
e
d
if
f
er
en
t
ex
p
er
i
m
e
n
t
s
.
As
we
ca
n
s
ee
f
r
o
m
s
ce
n
ar
io
1
,
2
an
d
3
th
at
m
o
tes
w
h
ich
ar
e
in
v
ici
n
it
y
a
n
d
h
i
g
h
er
r
an
k
th
a
n
attac
k
in
g
m
o
tes
g
et
a
f
f
ec
ted
m
o
s
t
in
ter
m
s
o
f
p
o
w
er
co
n
s
u
m
p
tio
n
w
h
ile
m
o
tes
w
h
ich
ar
e
h
a
v
i
n
g
alr
ea
d
y
lo
w
er
r
an
k
an
d
c
h
o
o
s
i
n
g
attac
k
i
n
g
m
o
te
s
as
p
ar
en
t
ar
e
n
o
t
a
f
f
ec
ted
m
u
c
h
i
n
b
o
th
n
o
r
m
al
as
w
e
ll
as
ab
n
o
r
m
al
s
c
en
ar
io
.
W
e
ca
n
al
s
o
co
n
clu
d
e
t
h
at
p
o
w
er
co
n
s
u
m
p
tio
n
o
f
attac
k
in
g
m
o
tes
i
s
m
u
c
h
m
o
r
e
th
a
n
m
o
te
s
w
h
en
b
eh
av
ed
n
o
r
m
a
ll
y.
I
n
f
u
t
u
r
e
s
a
m
e
attac
k
s
ca
n
b
e
co
m
p
ar
ed
w
i
th
o
th
er
q
u
alit
y
o
f
s
er
v
ice
p
ar
a
m
eter
s
li
k
e
P
R
R
(
P
ac
k
et
R
ec
ep
tio
n
R
atio
)
an
d
th
r
o
u
g
h
p
u
t
alo
n
g
w
it
h
p
ac
k
et
d
eli
v
er
y
f
r
ac
tio
n
.
Sin
k
h
o
le
an
d
Selectiv
e
f
o
r
w
ar
d
in
g
attac
k
s
ca
n
b
e
co
m
b
i
n
ed
w
it
h
w
o
r
m
h
o
le
at
ta
ck
w
h
ich
m
a
y
s
h
o
w
d
ev
a
s
tati
n
g
ef
f
ec
t o
n
n
et
w
o
r
k
r
eso
u
r
ce
s
.
RE
F
E
R
E
NC
E
S
[
1
]
A
t
z
o
r
i
L
.
,
I
e
r
a
A
.
,
M
o
r
a
b
i
t
o
G
.
,
“
T
h
e
i
n
t
e
r
n
e
t
o
f
t
h
i
n
g
s
:
A
s
u
r
v
e
y
,”
C
o
m
p
u
t
e
r
n
e
t
w
o
r
k
s
,
v
o
l
.
54
,
n
o
.
15
,
p
p
2787
-
805
,
2
0
1
0
.
[2
]
G
u
b
b
i
J
.
,
Bu
y
y
a
R
.
,
M
a
ru
sic
S
..
,
P
a
lan
isw
a
m
i
M
.
,
“
In
tern
e
t
o
f
T
h
in
g
s
(Io
T
):
A
v
isio
n
,
a
rc
h
it
e
c
tu
ra
l
e
le
m
e
n
ts,
a
n
d
f
u
tu
re
d
irec
ti
o
n
s
,”
Fu
t
u
re
g
e
n
e
ra
ti
o
n
c
o
mp
u
ter
sy
ste
ms
,
v
o
l.
29
,
n
o
.
7
,
p
p
.
1
6
4
5
-
16
60
,
2
0
1
3
.
[3
]
G
a
rtn
e
r,
"
N
e
w
sro
o
m
”
.
[
On
l
in
e
]
.
Av
a
il
a
b
le
:
h
tt
p
s://
w
ww
.
g
a
rtn
e
r.
c
o
m
/n
e
w
sro
o
m
/i
d
/2
6
3
6
0
7
3
.
[4
]
Ku
sh
a
ln
a
g
a
r
N
.
,
M
o
n
ten
e
g
ro
G
.
,
S
c
h
u
m
a
c
h
e
r
C.
,
“
IP
v
6
o
v
e
r
lo
w
-
p
o
we
r
w
irele
s
s
p
e
rso
n
a
l
a
re
a
n
e
t
w
o
rk
s
(6
L
o
W
P
A
Ns
):
o
v
e
rv
ie
w
,
a
ss
u
m
p
ti
o
n
s,
p
ro
b
lem
sta
te
m
e
n
t,
a
n
d
g
o
a
ls
,
”
2
0
0
7
.
[
O
n
li
n
e
]
.
A
v
a
il
a
b
le:
h
tt
p
s:/
/t
o
o
ls.i
e
tf
.
o
rg
/h
tm
l/
rf
c
4
9
1
9
[5
]
W
in
ter
T
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0
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On
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e
].
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le:
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ter
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sk
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.
[9
]
V
a
ss
e
u
r
J
.,
P
.
,
Kim
M
.
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P
ister
K
.
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jea
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rth
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l
D
.
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ter
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g
i
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sk
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rc
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s
v
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v
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.
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rk
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two
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0
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1
.
[1
1
]
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O
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icc
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m
in
T
.
,
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l
y
C.
,
“
RP
L
:
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e
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ti
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g
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tan
d
a
rd
f
o
r
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e
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tern
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f
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h
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g
s..
.
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Is
It?
,”
IEE
E
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mm
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n
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e
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l.
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p
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,
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0
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2
]
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e
v
is
P
.
,
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se
n
T
.
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i
J
.
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n
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wa
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,
“
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rick
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l
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m
.
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0
1
1
.
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On
l
in
e
].
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le:
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tt
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[1
3
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.
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ra
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.
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p
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0
1
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.
[1
4
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rip
a
th
i
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.
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Oliv
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ira
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.
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ss
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u
r
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.
P.
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ti
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lab
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ts
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Ho
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rk
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p
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2
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-
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,
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0
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4
.
[1
5
]
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a
n
g
W
.
,
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a
X
.
,
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a
n
g
J
.
,
W
e
i
J.
,
“
T
o
w
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m
p
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tw
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rk
s
,”
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o
u
rn
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S
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n
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rs
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l.
2
0
1
6
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p
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1
1
,
2
0
1
6
.
[1
6
]
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a
q
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.
,
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re
ls
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.
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le
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ter
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n
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m
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.
,
“
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n
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a
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tern
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s
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T
):
a
su
rv
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,”
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o
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rn
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S
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so
r
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rk
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l.
2
,
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o
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2
,
p
p
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2
3
5
-
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,
2
0
1
3
.
[1
7
]
M
a
y
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a
u
d
A
.
,
Ba
d
o
n
n
e
l
R
.
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Ch
ris
m
e
n
t
I.
,
“
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Tax
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tt
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in
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b
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se
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tern
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g
s
,”
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ter
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ti
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rity
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-
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0
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[
1
8
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e
A
.
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L
o
o
J
.
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L
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s
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e
A
.
,
A
i
a
s
h
M
.
,
L
u
o
Y
.
,
“
6
l
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n
:
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s
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p
r
o
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,”
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n
t
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r
n
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t
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l
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p
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1189
-
212
,
2
0
1
2
.
[1
9
]
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ll
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r
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n
L
.
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z
a
S
.
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V
o
ig
t
T
.
,
“
Ro
u
ti
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g
A
tt
a
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k
s
a
n
d
Co
u
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term
e
a
su
re
s
in
th
e
RP
L
-
b
a
se
d
In
te
rn
e
t
o
f
T
h
in
g
s
,”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
Distri
b
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t
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d
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so
r
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rk
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v
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l.
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o
.
8
,
p
p
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-
1
1
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2
0
1
3
.
[2
0
]
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e
rm
a
A
.
,
Ra
n
g
a
V
.
,
“
A
n
a
l
y
sis
o
f
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u
ti
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g
A
tt
a
c
k
s
o
n
RP
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b
a
se
d
6
L
o
W
P
A
N
Ne
t
w
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rk
s
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Gr
id
a
n
d
Distri
b
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te
d
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m
p
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ti
n
g
,
v
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l.
11
,
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o
.
8
,
p
p
.
43
-
56
,
2
0
1
8
.
[2
1
]
Zi
k
ria
Y
.
B
.
,
Af
z
a
l
M
.
K
.
,
Ish
m
a
n
o
v
F
.
,
Kim
S
.
W
.
,
Yu
H.
,
“
A
su
rv
e
y
o
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ro
u
ti
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g
p
ro
t
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s
u
p
p
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rte
d
b
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n
ti
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i
In
tern
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t
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f
th
in
g
s o
p
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ra
ti
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g
sy
ste
m
,”
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tu
re
Ge
n
e
ra
ti
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Co
mp
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ter
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y
ste
ms
,
v
o
l.
82
,
p
p
.
2
0
0
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19
,
2
0
1
8
.
[2
2
]
M
o
h
a
m
e
d
B
.
,
M
o
h
a
m
e
d
F
.
,
“
Qo
S
r
o
u
ti
n
g
R
P
L
f
o
r
lo
w
p
o
w
e
r
a
n
d
l
o
ss
y
n
e
t
w
o
rk
s
,”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Distrib
u
ted
S
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s
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r Ne
two
rk
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v
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l.
2
0
1
5
,
n
o
.
2
,
p
p
.
1
-
1
0
,
2
0
1
5
.
[2
3
]
N
y
g
a
a
rd
F
.
,
“
In
tr
u
sio
n
De
tec
ti
o
n
S
y
st
e
m
i
n
Io
T
,”
M
a
ste
r'
s
T
h
e
sis,
NT
NU
.
[2
4
]
Du
n
k
e
ls
A
.
,
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ro
n
v
a
ll
B
.
,
V
o
ig
t
T
.
,
“
Co
n
ti
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-
a
li
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tw
e
ig
h
t
a
n
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f
lex
ib
le
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p
e
ra
ti
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g
sy
st
e
m
f
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r
ti
n
y
n
e
tw
o
rk
e
d
se
n
so
rs
,
”
2
9
th
a
n
n
u
a
l
IE
EE
i
n
ter
n
a
ti
o
n
a
l
c
o
n
fer
e
n
c
e
o
n
lo
c
a
l
c
o
m
p
u
ter
n
e
tw
o
rk
s
,
2
0
0
4
.
[2
5
]
Os
terlin
d
F
.
,
D
u
n
k
e
ls
A
.
,
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k
ss
o
n
J
.
,
F
in
n
e
N
.
,
Vo
ig
t
T
.
,
“
Cro
ss
-
lev
e
l
se
n
so
r
n
e
tw
o
rk
si
m
u
latio
n
w
it
h
c
o
o
ja
,”
Pro
c
e
e
d
in
g
s
2
0
0
6
3
1
st I
EE
E
Co
n
fer
e
n
c
e
o
n
L
o
c
a
l
C
o
mp
u
ter
Ne
two
rk
s
,
2
0
0
6
.
[2
6
]
Zo
lertia,
“
Z1
Da
tas
h
e
e
t
,
”
2
0
1
0
.
[
On
l
in
e
]
.
A
v
a
il
a
b
le
:
h
tt
p
:/
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o
lertia.so
u
rc
e
f
o
rg
e
.
n
e
t/
w
i
k
i/
ima
g
e
s/e
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/
Z1
_
Re
v
C_
Da
tas
h
e
e
t.
p
d
f
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