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rica
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Science
Vo
l.
25
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.
1
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J
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u
ar
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0
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p
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25
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1
.
pp
347
-
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5
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347
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).
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ry
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t
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b
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il
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r
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o
a
rd
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g
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ti
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g
m
e
th
o
d
(CCRM
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.
T
h
e
CCRM
u
se
d
to
re
g
u
late
e
n
e
rg
y
c
o
n
su
m
p
ti
o
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o
f
th
e
n
o
d
e
s.
To
a
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a
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il
it
y
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n
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rm
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l
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se
n
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b
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larg
e
p
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m
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is
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se
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f
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sh
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p
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ted
b
y
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n
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d
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s
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it
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sim
u
latio
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w
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EACH
)
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ly
.
K
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s
:
C
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s
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clu
s
ter
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g
Data
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e
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ter
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en
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etwo
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k
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s
a
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n
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c
c
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ss
a
rticle
u
n
d
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r th
e
CC B
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SA
li
c
e
n
se
.
C
o
r
r
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s
p
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nd
ing
A
uth
o
r
:
B
asim
Ab
o
o
d
C
o
lleg
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o
f
C
o
m
p
u
ter
Scien
ce
an
d
I
n
f
o
r
m
atio
n
T
ec
h
n
o
lo
g
y
,
Un
iv
er
s
ity
o
f
Su
m
er
Al
-
R
if
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h
i
-
Qar
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I
r
aq
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m
ail: b
.
ab
o
o
d
@
u
o
s
.
ed
u
.
iq
1.
I
NT
RO
D
UCT
I
O
N
I
n
f
o
r
m
atio
n
s
ec
u
r
ity
(
I
S)
is
u
s
ed
to
p
r
ev
e
n
t
u
n
a
u
th
o
r
ize
d
ac
ce
s
s
to
in
f
o
r
m
atio
n
an
d
p
er
f
o
r
m
v
ar
io
u
s
o
p
er
atio
n
s
o
n
s
u
c
h
in
f
o
r
m
atio
n
,
s
u
ch
as
th
e
u
s
e,
d
is
clo
s
u
r
e,
d
is
ab
lin
g
,
d
estru
ctio
n
o
r
m
o
d
if
icatio
n
o
f
s
u
c
h
in
f
o
r
m
atio
n
[1
]
-
[
3]
.
I
S
h
as
m
an
y
o
b
jectiv
es
in
r
elatio
n
to
th
e
p
r
o
tectio
n
o
f
in
f
o
r
m
ati
o
n
ag
ain
s
t
an
y
r
is
k
s
to
wh
ich
s
u
ch
in
f
o
r
m
atio
n
m
a
y
b
e
ex
p
o
s
ed
.
T
h
e
ty
p
e
o
f
r
i
s
k
t
o
wh
ich
th
e
d
ata
is
ex
p
o
s
ed
v
ar
ies
b
y
ap
p
licatio
n
[4
]
-
[
6]
.
Ho
wev
er
,
T
h
e
p
r
o
p
o
s
ed
s
ec
u
r
ity
of
lo
w
-
en
er
g
y
a
d
ap
tiv
e
clu
s
ter
in
g
h
ier
a
r
ch
y
(
L
E
AC
H
)
p
r
o
to
co
l
(
SLE
AC
H)
to
co
n
s
tr
u
ct
a
s
ec
u
r
e
wir
eless
s
en
s
o
r
n
etwo
r
k
s
(
W
SN
)
clu
s
ter
in
g
m
o
d
el
[7
]
-
[
9]
.
I
t
p
u
r
p
o
s
es
to
av
o
id
s
in
k
h
o
les,
f
o
r
war
d
in
g
with
ca
r
e,
an
d
SLE
AC
H
in
g
e
n
er
al,
a
r
e
lim
ited
b
y
s
y
s
tem
m
em
o
r
y
,
r
esu
ltin
g
in
n
etwo
r
k
ef
f
icien
cy
r
ed
u
c
tio
n
an
d
a
s
h
o
r
ter
life
s
p
an
.
T
o
o
v
e
r
awe
d
th
e
c
o
m
p
lex
ity
an
d
d
if
f
icu
lty
o
f
tr
a
d
itio
n
al
en
cr
y
p
tio
n
o
r
g
a
n
izatio
n
s
in
W
SNs
h
av
e
a
lim
ited
am
o
u
n
t
o
f
s
to
r
ag
e
s
p
ac
e,
th
e
ad
v
an
ce
d
e
n
cr
y
p
tio
n
s
tan
d
ar
d
(
AE
S)
an
d
ellip
tic
cu
r
v
e
cr
y
p
to
g
r
ap
h
y
(
E
C
C
)
alg
o
r
ith
m
s
ar
e
u
s
ed
in
[
1
0
]
to
r
e
d
u
ce
t
h
e
co
m
p
le
x
ity
an
d
ex
p
lo
it
th
e
ad
v
an
tag
es
o
f
th
ese
alg
o
r
ith
m
s
.
I
n
W
SNs
,
E
C
C
is
u
s
ed
to
cr
ea
te
with
s
h
ar
in
g
th
e
k
ey
.
T
o
p
r
o
tec
t
th
e
ag
g
r
eg
atio
n
with
au
th
en
ticatio
n
s
ca
lab
le
d
ata
m
an
ag
em
en
t,
an
aly
s
is
,
an
d
v
is
u
aliza
tio
n
(
SDAV)
is
p
r
o
p
o
s
ed
[
1
1
]
,
[
1
2
]
.
T
h
e
r
esear
ch
er
s
s
elec
t
th
e
E
C
C
o
v
e
r
c
o
n
v
en
tio
n
al
asy
m
m
etr
ic
alg
o
r
ith
m
s
b
ec
au
s
e
o
f
its
lo
w
k
ey
an
d
p
er
f
o
r
m
an
ce
in
ter
m
s
o
f
s
im
u
latio
n
an
d
ca
p
ac
ity
.
T
h
e
ag
g
r
eg
at
o
r
g
ath
e
r
s
in
SDAV
f
o
r
its
m
em
b
er
s
'
en
cr
y
p
ted
d
ata,
d
ec
r
y
p
ts
it,
av
er
ag
es
it,
an
d
th
en
r
etu
r
n
s
th
e
r
esu
lt
to
th
e
m
.
S
ec
u
r
e
en
h
a
n
ce
d
d
ata
ag
g
r
eg
atio
n
(
SEDA
)
b
ased
o
n
E
C
C
was
u
s
e
d
b
y
an
o
th
er
s
ec
u
r
e
in
[
1
3
]
.
SEDA
-
E
C
C
i
s
b
as
ed
o
n
th
e
co
n
ce
p
ts
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
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2
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4
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I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
347
-
3
5
7
348
o
f
p
r
iv
ac
y
en
cr
y
p
tio
n
al
g
o
r
it
h
m
f
o
r
h
o
m
o
m
o
r
p
h
ic
tech
n
i
q
u
e
.
T
h
is
s
y
s
tem
h
as
g
r
ea
t
s
ec
u
r
ity
o
u
tco
m
es,
p
ar
ticu
lar
ly
w
h
en
it
c
o
m
es
to
n
o
d
e
ex
p
lo
itatio
n
attac
k
s
.
B
u
t,
T
h
e
k
ey
ch
alle
n
g
es
a
r
e
th
e
n
ec
ess
ar
y
m
em
o
r
y
ca
p
ac
ity
an
d
en
e
r
g
y
c
o
n
s
u
m
p
tio
n
.
Fo
r
th
e
e
n
er
g
y
c
o
s
t
o
f
co
m
m
u
n
icatio
n
in
W
SNs
[
1
4
]
,
th
e
a
u
th
o
r
s
s
u
g
g
ested
a
cr
y
p
to
g
r
ap
h
y
to
s
ec
u
r
e
d
ata
tr
a
n
s
m
is
s
io
n
in
W
SN
s
r
o
u
tin
g
a
r
ch
itectu
r
e
ellip
tic
cu
r
v
es
Dif
f
ie
Hellm
a
n
alg
o
r
ith
m
-
ellip
tic
cu
r
v
e
d
ig
ital
s
ig
n
atu
r
e
alg
o
r
ith
m
(
E
C
DH
-
E
C
DS
A)
k
ey
ex
ch
an
g
e
an
d
v
e
r
if
y
th
at
it
m
u
s
t
b
e
f
av
o
r
e
d
in
ca
s
es
wh
er
e
a
tr
u
s
ted
th
ir
d
p
ar
ty
is
ac
ce
s
s
ib
le.
T
h
er
ef
o
r
e
,
W
h
en
it
c
o
m
es
to
ca
lcu
latin
g
th
e
co
s
t
o
f
cr
y
p
to
g
r
a
p
h
ic
p
r
o
t
o
co
ls
o
n
s
en
s
o
r
n
o
d
es,
m
o
n
ito
r
in
g
s
h
o
u
ld
b
e
ta
k
en
in
to
ac
co
u
n
t.
I
n
th
is
p
ap
er
,
we
p
r
o
p
o
s
ed
th
e
E
C
DH
-
R
SA
an
en
h
an
ce
d
en
c
r
y
p
tio
n
alg
o
r
ith
m
p
lan
b
ased
o
n
E
C
DH
an
d
R
SA
in
o
r
d
er
to
en
s
u
r
e
d
ata
tr
a
n
s
f
er
s
ec
u
r
ity
in
W
SN
to
o
v
er
co
m
e
th
ese
lim
itatio
n
s
o
f
v
ar
io
u
s
ar
ticles
with
d
y
n
am
ically
clu
s
ter
ed
s
en
s
o
r
n
o
d
es,
T
h
e
b
ig
g
est
d
r
awb
ac
k
s
ar
e
a
f
in
ite
q
u
an
tity
o
f
m
em
o
r
y
an
d
th
e
p
o
s
s
ib
ilit
y
o
f
a
s
in
g
le
n
o
d
e
f
ailu
r
e.
F
o
r
co
m
p
r
o
m
i
s
e
co
m
m
u
n
icatio
n
lin
es,
th
e
attac
k
er
ca
n
co
m
p
r
o
m
is
e
m
an
y
m
o
r
e
n
o
d
es.
Fu
r
th
er
m
o
r
e
,
t
h
e
d
ec
r
y
p
tio
n
a
lg
o
r
ith
m
is
n
o
t
s
u
ited
f
o
r
e
n
cr
y
p
tin
g
lar
g
e
am
o
u
n
ts
o
f
d
ata.
T
h
e
g
o
al
is
to
h
av
e
th
e
least
am
o
u
n
t
o
f
im
p
ac
t
o
n
th
e
n
etwo
r
k
'
s
life
cy
cle,
ch
e
s
s
b
o
ar
d
clu
s
ter
in
g
r
o
u
tin
g
m
e
th
o
d
(
C
C
R
M)
an
d
E
C
DH
is
u
s
ed
to
p
r
o
d
u
ce
p
u
b
lic
an
d
p
r
iv
ate
k
e
y
s
f
o
r
s
en
s
o
r
n
o
d
es,
a
n
d
is
u
s
ed
to
f
in
d
th
e
m
o
s
t
s
u
itab
le
s
en
s
o
r
n
o
d
es a
s
clu
s
ter
h
ea
d
s
t
o
r
elay
th
e
m
ess
ag
e
to
th
e
b
as
e
s
tatio
n
.
T
h
e
s
u
g
g
ested
en
cr
y
p
tio
n
m
e
th
o
d
is
b
ased
o
n
C
C
R
M,
wh
ich
em
p
lo
y
s
th
e
ch
ess
b
o
ar
d
clu
s
ter
in
g
alg
o
r
ith
m
(
C
C
)
to
s
elec
t
th
e
b
est
n
etwo
r
k
s
tr
u
ctu
r
e
f
o
r
l
o
wer
in
g
en
e
r
g
y
c
o
n
s
u
m
p
tio
n
af
ter
ea
ch
r
o
u
n
d
.
C
C
R
M
i
s
wr
itten
at
s
ec
tio
n
3
.
T
h
e
f
o
llo
win
g
is
h
o
w
th
e
r
est
o
f
th
e
p
ap
er
is
s
tr
u
ctu
r
ed
:
T
h
e
ap
p
r
o
ac
h
o
f
th
is
p
a
p
e
r
i
s
c
la
r
i
f
i
e
d
i
n
s
e
c
ti
o
n
2
.
T
h
e
s
t
r
u
c
t
u
r
e
o
f
t
h
e
c
h
e
s
s
b
o
a
r
d
c
l
u
s
t
e
r
i
n
g
r
o
u
t
i
n
g
p
r
o
t
o
c
o
l
i
s
s
h
o
w
e
d
i
n
s
e
c
t
i
o
n
3
.
Ou
r
p
r
o
p
o
s
ed
s
o
lu
tio
n
f
o
r
s
e
cu
r
in
g
d
ata
cl
u
s
ter
ed
s
en
s
o
r
s
in
W
SN
i
s
d
is
cu
s
s
ed
in
s
ec
tio
n
4
.
Simu
latio
n
ex
p
er
im
en
tal
f
i
n
d
in
g
s
an
d
co
n
tr
ib
u
tio
n
ar
e
d
is
cu
s
s
ed
in
s
ec
tio
n
5
.
A
s
u
m
m
ar
y
f
in
is
h
es
s
ec
tio
n
6
o
f
th
is
wo
r
k
.
2.
M
E
T
H
O
DO
L
O
G
Y
Fig
u
r
e
1
d
e
p
icts
th
e
s
tag
es
o
f
o
u
r
p
lan
n
ed
p
r
o
ject.
T
h
e
f
ir
s
t
p
h
ase
e
n
tails
u
s
in
g
C
C
R
M
t
o
b
u
ild
a
n
etwo
r
k
to
p
o
l
o
g
y
th
at
r
ed
u
ce
s
en
er
g
y
f
atig
u
e.
T
h
e
n
,
t
o
en
s
u
r
e
s
ec
u
r
e
d
ata
f
lo
w
f
r
o
m
s
en
s
o
r
n
o
d
es
to
th
e
B
S,
th
e
p
r
o
p
o
s
ed
en
c
r
y
p
tio
n
s
ch
e
m
a
is
im
p
lem
en
ted
.
T
h
e
n
ex
t s
ec
tio
n
s
g
o
o
v
er
ea
ch
o
f
th
ese
p
h
ases
in
d
ep
th
.
Fig
u
r
e
1
.
Dev
el
o
p
in
g
th
e
s
ec
u
r
e
d
ata
tr
an
s
f
er
tec
h
n
iq
u
e
3.
T
H
E
CH
E
SS
B
O
ARD
C
L
US
T
E
R
I
NG
RO
UT
I
NG
P
RO
T
O
CO
L
I
n
th
is
p
a
r
t,
th
e
ch
ess
b
o
ar
d
cl
u
s
ter
in
g
alg
o
r
ith
m
is
u
s
ed
to
s
u
g
g
est
h
eter
o
g
en
eo
u
s
s
en
s
o
r
n
etwo
r
k
s
.
W
e
will e
m
p
lo
y
th
e
f
o
llo
win
g
two
ty
p
es o
f
s
en
s
o
r
s
:
−
T
h
e
u
s
ag
e
o
f
a
r
estricte
d
n
u
m
b
er
o
f
p
o
wer
f
u
l
h
ig
h
-
en
d
s
en
s
o
r
s
is
r
ef
er
r
ed
to
as
an
H
-
s
en
s
o
r
(
clu
s
ter
h
ea
d
)
.
−
T
h
e
ter
m
"L
-
s
en
s
o
r
"
r
ef
er
s
to
th
e
em
p
lo
y
m
en
t o
f
a
v
ar
iety
o
f
lo
w
-
co
s
t (
b
asic)
s
en
s
o
r
s
.
3
.
1
.
Clus
t
er
d
eplo
y
m
ent
We
in
tr
o
d
u
ce
o
u
r
h
eter
o
g
en
eo
u
s
wir
eless
s
en
s
o
r
n
etwo
r
k
s
(
HW
SNs
)
ch
ec
k
er
b
o
ar
d
clu
s
ter
in
g
ap
p
r
o
ac
h
in
th
is
p
a
r
t
f
o
r
h
et
er
o
g
en
e
o
u
s
s
en
s
o
r
n
etwo
r
k
s
.
I
n
th
e
s
en
s
o
r
n
etwo
r
k
,
ch
ess
b
o
ar
d
s
en
s
o
r
s
ar
e
em
p
lo
y
ed
.
T
h
e
s
en
s
o
r
n
etwo
r
k
is
d
iv
id
ed
in
to
s
ev
er
al
s
m
all,
eq
u
al
-
s
ized
ce
lls
,
as
s
h
o
w
n
in
Fig
u
r
e
2
,
with
ad
jace
n
t
ce
lls
co
lo
r
ed
in
v
ar
i
o
u
s
h
u
es
(
wh
ite/b
lack
)
.
H
-
s
en
s
o
r
s
an
d
L
-
s
en
s
o
r
s
ar
e
ex
p
ec
t
ed
to
b
e
d
is
tr
ib
u
ted
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Da
ta
tr
a
n
s
mitted
en
cryp
tio
n
f
o
r
clu
s
teri
n
g
p
r
o
to
co
l in
h
eter
o
g
en
eo
u
s
w
ir
eles
s
s
en
s
o
r
…
(
Mo
h
d
A
li Ha
s
s
a
n
)
349
ev
en
ly
an
d
r
an
d
o
m
ly
in
th
is
ar
ea
.
H
-
s
en
s
o
r
s
,
o
n
th
e
o
th
e
r
h
a
n
d
,
s
h
o
u
l
d
b
e
in
s
talled
with
g
r
ea
ter
ca
r
e
to
en
s
u
r
e
th
at
all
L
-
s
en
s
o
r
s
ar
e
co
v
e
r
ed
.
T
h
at
is
,
at
least o
n
e
clu
s
ter
h
e
ad
ca
n
b
e
h
ea
r
d
b
y
ea
c
h
s
en
s
o
r
.
Fig
u
r
e
2
.
T
h
e
c
h
ess
b
o
ar
d
clu
s
ter
in
g
s
ch
em
e
3
.
2
.
T
he
pa
rt
it
io
n m
e
t
ho
d f
o
r
clus
t
er
ing
C
lu
s
ter
p
ar
titi
o
n
is
a
tech
n
i
q
u
e
f
o
r
h
o
m
o
g
e
n
eo
u
s
n
etwo
r
k
s
th
at
h
as
b
ee
n
ex
ten
s
iv
ely
r
esear
ch
ed
[
1
5
]
-
[
1
7
]
,
a
n
d
f
o
r
h
eter
o
g
en
e
o
u
s
n
etwo
r
k
s
[
1
8
]
,
[
1
9
]
.
First,
On
ly
th
e
H
-
s
en
s
o
r
s
in
wh
i
te
ce
lls
ar
e
ac
tiv
e
d
u
r
in
g
th
e
in
itiatio
n
p
er
i
o
d
,
wh
er
ea
s
th
e
H
-
s
en
s
o
r
s
in
b
la
ck
ce
lls
ar
e
tu
r
n
ed
o
f
f
.
All
o
f
th
e
L
-
s
en
s
o
r
s
ar
e
wo
r
k
in
g
.
I
n
wh
ite
ce
lls
,
clu
s
ter
s
f
o
r
m
ar
o
u
n
d
H
-
s
en
s
o
r
s
,
an
d
th
ese
H
-
s
en
s
o
r
s
b
ec
o
m
e
c
lu
s
ter
h
ea
d
s
.
L
ater
,
wh
en
H
-
s
en
s
o
r
s
in
wh
ite
ce
lls
r
u
n
o
u
t
o
f
en
er
g
y
,
th
e
cl
u
s
ter
s
ar
e
f
o
r
m
ed
ar
o
u
n
d
th
e
H
-
s
en
s
o
r
s
in
b
lack
ce
lls
in
th
e
s
am
e
way
.
T
h
e
clu
s
ter
p
ar
titi
o
n
c
o
n
ce
p
t
will
b
e
d
escr
ib
ed
in
ter
m
s
o
f
t
h
e
H
-
s
en
s
o
r
s
in
t
h
e
wh
ite
ce
lls
.
I
n
tu
r
n
,
b
r
o
ad
ca
s
t
h
ello
m
ess
ag
es
b
ased
o
n
th
e
H
-
s
en
s
o
r
s
'
I
Ds
an
d
th
eir
lo
ca
tio
n
s
,
s
tar
tin
g
with
th
e
H
-
s
en
s
o
r
with
th
e
s
m
allest
I
D.
E
ac
h
L
-
s
en
s
o
r
will
th
en
b
u
ild
a
li
s
t
o
f
th
e
H
-
s
en
s
o
r
s
it
h
as
h
e
ar
d
f
r
o
m
,
o
r
wh
o
s
e
m
ess
ag
es
it
h
as
s
u
cc
ess
f
u
lly
r
ec
eiv
ed
.
T
h
e
b
r
o
a
d
ca
s
t'
s
tr
an
s
m
is
s
io
n
r
an
g
e
is
lar
g
e
e
n
o
u
g
h
,
b
ased
o
n
r
ec
eiv
e
d
s
ig
n
al
s
tr
en
g
th
,
f
o
r
m
o
s
t
L
-
s
e
n
s
o
r
s
to
r
ec
ei
v
e
h
ello
m
ess
ag
es
f
r
o
m
m
u
ltip
le
H
-
s
en
s
o
r
s
.
T
h
e
clu
s
ter
lead
er
is
th
en
ch
o
s
en
b
y
ea
c
h
L
-
s
en
s
o
r
as
th
e
H
-
s
en
s
o
r
wh
o
s
e
h
ello
m
ess
ag
e
h
as
th
e
b
est
s
ig
n
al
s
tr
en
g
th
.
A
f
ter
th
is
,
ea
ch
L
-
s
en
s
o
r
will
r
ec
o
g
n
ize
wh
ich
H
-
s
en
s
o
r
it
b
elo
n
g
s
to
an
d
will
f
av
o
r
th
e
H
-
s
en
s
o
r
at
th
e
to
p
o
f
th
e
lis
t.
T
h
e
H
-
s
en
s
o
r
th
en
b
eg
in
s
to
d
eter
m
in
e
wh
ich
s
en
s
o
r
s
s
h
o
u
ld
b
e
in
clu
d
ed
in
its
clu
s
ter
.
W
e
ju
s
t
d
is
cu
s
s
it
f
o
r
c
lu
s
ter
1
b
ec
au
s
e
it
is
th
e
s
am
e
f
o
r
all
cl
u
s
ter
s
.
H
-
s
en
s
o
r
1
,
a
b
b
r
ev
iated
H1
,
will
s
en
d
a
m
e
s
s
ag
e
th
at
s
ay
s
"
A
ll
s
en
s
o
r
s
w
ith
in
a
r
ea
s
o
n
a
b
le
d
is
ta
n
ce
o
f
me
s
h
o
u
ld
r
ep
o
r
t
to
me
a
s
th
e
p
r
eferr
ed
clu
s
te
r
h
ea
d
"
.
Fo
llo
win
g
th
at,
ea
ch
elig
ib
le
L
-
s
en
s
o
r
wi
ll
d
eliv
er
a
p
ac
k
et
to
H
1
,
t
h
is
co
n
tain
s
th
e
I
D
as
well
as
th
e
lo
ca
tio
n
o
f
th
e
I
D.
Af
ter
all,
L
-
s
en
s
o
r
h
as
r
ep
o
r
t
ed
,
H
1
will
ad
d
th
em
to
a
lis
t
L
an
d
b
r
o
a
d
ca
s
t
an
ac
k
n
o
w
led
g
m
en
t
p
ac
k
et
to
th
em
.
T
h
e
s
en
s
o
r
i
n
L
with
th
e
least
I
D
is
th
en
ask
ed
b
y
H
1
,
s
ay
S
1
,
to
s
en
d
a
m
ess
ag
e
to
s
en
s
o
r
s
ask
in
g
t
h
em
to
r
ep
o
r
t
to
S
1
if
t
h
ey
:
i)
H
1
is
th
e
b
est
clu
s
ter
h
ea
d
to
u
s
e.
;
ii)
S
1
h
as
co
n
v
ey
e
d
th
is
m
ess
ag
e
to
H
1
;
a
n
d
iii)
H
1
h
as n
o
t a
ck
n
o
wled
g
ed
S
1
.
All
o
f
th
ese
L
-
s
en
s
o
r
s
will
p
a
y
atten
tio
n
t
o
S
1
,
an
d
S
1
will
i
n
f
o
r
m
H
1
a
b
o
u
t
th
ese
L
-
s
en
s
o
r
s
.
H
1
will
th
en
ask
an
o
th
e
r
s
en
s
o
r
in
L
to
ad
d
th
ese
n
ewly
id
en
tifie
d
s
e
n
s
o
r
s
to
L,
s
ay
S
2
,
to
f
o
llo
w
in
th
e
f
o
o
ts
tep
s
o
f
S
1
,
an
d
s
o
f
o
r
th
,
u
n
til
th
er
e
ar
e
n
o
m
o
r
e
s
en
s
o
r
s
to
d
is
co
v
er
.
I
t
is
u
n
d
en
iab
le
th
at,
af
ter
th
i
s
,
H
1
will
d
is
co
v
er
ev
er
y
s
en
s
o
r
th
at
h
as c
h
o
s
en
H
1
as th
eir
p
r
ef
er
r
e
d
clu
s
ter
h
e
ad
an
d
h
as a
p
ath
to
H
1
.
Af
ter
H
1
h
as
f
in
is
h
ed
,
i
n
th
e
s
am
e
way
,
H
2
ca
n
d
is
co
v
er
its
s
en
s
o
r
s
,
th
en
H
3
,
H
4
u
n
til
t
h
e
last
H
-
s
en
s
o
r
.
W
h
en
t
h
e
last
H
-
s
en
o
r
h
as
c
o
m
p
leted
h
is
wo
r
k
,
we
m
ay
claim
th
at
th
e
f
ir
s
t
r
o
u
n
d
o
f
d
is
co
v
er
y
is
f
in
is
h
ed
.
I
t'
s
wo
r
th
n
o
tin
g
th
at
af
ter
th
e
f
ir
s
t
r
o
u
n
d
,
th
e
m
a
jo
r
ity
o
f
L
-
s
en
s
o
r
s
h
av
e
m
o
s
t
lik
ely
p
r
ev
io
u
s
ly
b
ee
n
d
etec
ted
b
y
t
h
e
f
av
o
r
ed
H
-
s
en
s
o
r
s
.
Ho
wev
er
,
s
o
m
e
L
-
s
en
s
o
r
s
m
ay
h
av
e
y
et
to
b
e
d
is
co
v
er
ed
b
ec
au
s
e
th
ey
lack
a
p
ath
to
t
h
eir
p
r
ef
e
r
r
ed
H
-
s
en
s
o
r
.
Su
ch
L
-
s
en
s
o
r
s
ar
e
ca
lled
th
e
o
r
p
h
a
n
s
en
s
o
r
s
.
T
o
ass
is
t
o
r
p
h
an
s
en
s
o
r
s
in
lo
ca
tin
g
th
e
H
-
s
e
n
s
o
r
,
a
s
ec
o
n
d
p
h
ase
o
f
d
is
c
o
v
er
y
is
r
e
q
u
ir
ed
,
in
wh
ic
h
ea
ch
o
r
p
h
an
s
en
s
o
r
b
r
o
ad
ca
s
ts
a
m
ess
ag
e
s
tatin
g
th
at
it
s
ay
in
g
th
at
"
A
n
y
n
o
n
-
o
r
p
h
a
n
s
en
s
o
r
w
h
o
r
ec
eiv
es
th
is
mess
a
g
e
is
w
elco
me
to
a
d
d
me
to
th
eir
clu
s
ter
".
T
h
e
f
ir
s
t
n
o
n
-
o
r
p
h
a
n
s
en
s
o
r
to
r
ep
l
y
will
in
f
o
r
m
its
H
-
s
en
s
o
r
o
f
th
e
n
e
w
d
is
co
v
er
y
.
Af
ter
th
is
,
we
m
ay
claim
th
at
all
L
-
s
en
s
o
r
s
in
th
e
wh
ite
ce
ll h
av
e
d
is
co
v
er
e
d
th
e
H
-
s
en
s
o
r
s
.
As
an
ex
am
p
le,
Fig
u
r
e
3
d
ep
i
cts
a
v
er
y
b
asic
n
etwo
r
k
,
H
1
an
d
H
2
ar
e
th
e
clu
s
ter
h
ea
d
s
,
an
d
th
er
e
ar
e
1
0
s
en
s
o
r
s
in
all.
T
h
e
tr
an
s
m
is
s
io
n
d
is
tan
ce
o
f
th
e
clu
s
ter
h
e
ad
s
is
DH
th
at
is
o
n
ly
H
1
ca
n
b
e
h
ea
r
d
b
y
s
en
s
o
r
s
S
1
to
S
5
,
wh
ile
H
2
ca
n
o
n
ly
b
e
h
ea
r
d
b
y
s
en
s
o
r
s
S
7
to
S
10
.
B
o
th
H
1
an
d
H
2
ca
n
b
e
h
ea
r
d
b
y
S
6
,
alth
o
u
g
h
it
is
co
n
s
id
er
ed
th
at
H
1
'
s
s
ig
n
al
is
s
tr
o
n
g
er
.
A
s
en
s
o
r
ca
n
s
en
d
a
p
ac
k
et
to
an
o
t
h
er
n
o
d
e
if
it
is
c
ap
ab
le
o
f
d
o
in
g
s
o
,
th
er
e
is
an
ed
g
e
b
etwe
en
th
e
m
.
At
f
ir
s
t,
Fig
u
r
e
4
s
h
o
ws
h
o
w
H
1
an
d
H
2
will
b
r
o
ad
ca
s
t
th
eir
s
ig
n
als
in
tu
r
n
.
Fo
llo
win
g
th
at
,
H
1
will
b
e
th
e
ch
o
s
en
clu
s
ter
h
ea
d
f
o
r
S
1
to
S
6
,
an
d
H
2
will
b
e
th
e
p
r
ef
e
r
r
ed
clu
s
ter
h
ea
d
f
o
r
S
7
to
S
10
.
Nex
t,
H
1
will
lo
o
k
f
o
r
s
en
s
o
r
s
th
at
ca
n
co
m
m
u
n
icate
with
it
d
ir
ec
tly
.
B
ec
au
s
e
th
ey
ar
e
with
in
D
o
f
H
1
,
it
will
s
en
d
a
m
ess
ag
e,
an
d
S
1
an
d
S
2
will
r
esp
o
n
d
,
as
s
h
o
wn
in
Fig
u
r
e
5
(
a)
.
Af
ter
th
is
,
a
s
d
em
o
n
s
tr
ated
in
Fig
u
r
e
5
(
b
)
,
S
1
will
d
is
co
v
er
S
3
,
S
4
,
an
d
S
5
.
Nex
t,
H
2
will
d
is
co
v
er
s
en
s
o
r
s
S
7
to
S
10
in
a
s
i
m
ilar
way
,
as
s
h
o
wn
in
Fig
u
r
e
6
(
a)
.
S
6
is
an
o
r
p
h
an
s
in
ce
it
c
h
o
s
e
H
1
as
its
c
lu
s
ter
h
ea
d
o
f
ch
o
ice
.
Ho
we
v
er
,
it
is
u
n
ab
le
to
co
m
m
u
n
icate
with
an
y
s
en
s
o
r
th
at
h
as a
co
n
n
ec
tio
n
to
H
1
.
T
h
u
s
,
S
6
will sen
d
a
m
ess
ag
e
to
S
7
,
wh
o
will a
d
d
S
6
to
th
e
H
2
clu
s
ter
,
as sh
o
wn
in
Fig
u
r
e
6
(
b
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
347
-
3
5
7
350
Fig
u
r
e
3
.
A
s
im
p
le
n
etwo
r
k
o
f
clu
s
ter
p
ar
titi
o
n
Fig
u
r
e
4
.
T
h
e
m
ess
ag
es o
f
H
1
an
d
H
2
ar
e
air
e
d
in
tu
r
n
Fig
u
r
e
5
.
B
ec
au
s
e
th
ey
a
r
e
with
in
D
o
f
H
1
,
it will sen
d
a
m
e
s
s
ag
e
:
(
a)
S
1
an
d
S
2
r
esp
o
n
d
H
1
'
s
m
e
s
s
ag
e
an
d
(
b
)
S
1
d
is
co
v
er
s
S
3
,
S
4
,
an
d
S
5
Fig
u
r
e
6
.
Descr
ib
ed
th
e
ce
n
a
r
io
s
to
jo
in
clu
s
ter
s
as
:
(
a)
H
2
d
i
s
co
v
er
s
S
7
to
S
1o
a
n
d
(
b
)
S
6
jo
i
n
s
th
e
clu
s
ter
o
f
H
2
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Da
ta
tr
a
n
s
mitted
en
cryp
tio
n
f
o
r
clu
s
teri
n
g
p
r
o
to
co
l in
h
eter
o
g
en
eo
u
s
w
ir
eles
s
s
en
s
o
r
…
(
Mo
h
d
A
li Ha
s
s
a
n
)
351
4.
E
NCRY
P
T
I
O
N
A
L
G
O
RI
T
H
M
S (
E
CDH
AN
D
RSA)
4
.
1
.
E
llip
t
ic
curv
es
Dif
f
ie
-
H
ellm
a
n (
E
CDH
)
I
n
a
v
ar
iety
o
f
cr
y
p
to
g
r
ap
h
ic
co
n
tex
ts
,
ellip
tic
c
u
r
v
es
wer
e
alr
ea
d
y
i
n
u
s
e
wo
r
k
e
d
in
d
ep
e
n
d
en
tly
o
n
th
is
p
r
o
ject
[
2
0
]
-
[
2
3
]
.
At
th
a
t
tim
e,
in
teg
er
f
ac
to
r
izatio
n
a
n
d
p
r
im
ality
p
r
o
o
f
ar
e
two
e
x
am
p
les.
‘
Do
m
ain
p
ar
am
eter
s
’
E
C
C
is
a
g
o
o
d
e
x
am
p
le
o
f
a
co
n
s
tan
t
lik
e
th
i
s
.
Un
lik
e
p
r
iv
ate
k
e
y
cr
y
p
to
g
r
ap
h
y
,
p
u
b
lic
k
ey
cr
y
p
to
g
r
ap
h
y
d
o
es
n
o
t
r
e
q
u
ir
e
th
e
co
m
m
u
n
icatio
n
p
ar
ties
to
d
is
clo
s
e
a
s
ec
r
et,
b
u
t
it
is
s
u
b
s
tan
tially
s
lo
wer
.
An
ellip
tic
cu
r
v
e
ca
n
b
e
co
n
ce
iv
ed
o
f
as
b
ein
g
g
iv
e
n
b
y
an
af
f
in
e
eq
u
atio
n
o
f
th
em
f
o
r
th
e
p
u
r
p
o
s
es
o
f
en
cr
y
p
tio
n
:
2
=
3
+
+
(
1
)
W
h
er
e
a
a
nd
b
ar
e
elem
en
ts
o
f
a
f
in
ite
f
ield
co
n
tain
in
g
p
elem
en
ts
,
an
d
p
is
a
p
r
im
e
g
r
ea
ter
th
an
3
.
(
T
h
e
eq
u
atio
n
s
f
o
r
b
in
ar
y
an
d
ter
n
ar
y
f
ield
s
d
if
f
e
r
s
lig
h
tly
)
.
Fo
r
ev
er
y
L
-
s
en
s
o
r
in
th
e
n
et
wo
r
k
,
t
h
e
in
itial
s
tep
b
ef
o
r
e
d
ata
tr
an
s
f
er
b
etwe
en
t
h
e
L
-
Sen
s
o
r
,
E
C
DH,
an
d
a
b
a
s
e
p
o
in
t
p
t
h
at
s
its
o
n
th
e
cu
r
v
e
m
u
s
t
b
e
k
n
o
w
n
.
T
h
e
co
llectio
n
o
f
o
r
d
e
r
ed
p
air
s
(
,
)
h
av
in
g
co
o
r
d
in
ates in
th
e
f
ield
an
d
s
u
ch
th
at
an
d
s
ati
s
f
y
th
e
r
elatio
n
g
iv
en
b
y
th
e
eq
u
atio
n
d
escr
ib
i
n
g
th
e
cu
r
v
e
is
th
e
s
et
o
f
p
o
in
ts
o
n
th
e
cu
r
v
e.
A
g
r
o
u
p
is
also
f
o
r
m
ed
b
y
a
s
et
o
f
p
o
in
ts
o
n
a
n
ellip
tic
cu
r
v
e
th
a
t
h
av
e
co
o
r
d
in
ates
in
a
f
in
ite
f
ield
,
an
d
th
e
p
r
o
ce
d
u
r
e
is
as
f
o
llo
ws:
to
in
cr
ea
s
e
th
e
cu
r
v
e
b
y
two
p
o
in
ts
1
an
d
2
to
g
eth
er
.
T
h
en
a
s
tr
aig
h
t
lin
e
i
s
d
r
awn
th
r
o
u
g
h
th
e
cu
r
v
e
to
f
in
d
th
e
th
ir
d
p
o
in
t
o
f
in
ter
s
ec
tio
n
1
.
T
h
en
p
o
in
t
1
is
r
ef
lecte
d
alo
n
g
th
e
X
-
ax
is
to
o
b
tain
(
−
1
)
.
T
h
at
is
to
s
a
y
,
th
e
to
tal
of
1
an
d
2
r
esu
lts
(
−
1
)
.
T
h
is
g
r
o
u
p
o
p
er
atio
n
'
s
co
n
ce
p
t is th
at
th
e
th
r
ee
p
o
in
ts
1
,
2
,
an
d
1
L
ie
d
o
wn
i
n
a
s
tr
aig
h
t
lin
e,
an
d
th
e
p
o
in
ts
th
at
s
u
m
u
p
to
ze
r
o
as
a
r
esu
lt
o
f
a
f
u
n
ctio
n
in
ter
s
ec
tin
g
a
cu
r
v
e
a
s
s
h
o
wn
in
Fig
u
r
e
7
[
2
2
]
.
Fig
u
r
e
7
.
Gr
o
u
p
law
o
n
an
ellip
tic
cu
r
v
e
B
ec
au
s
e
th
e
m
ajo
r
ity
o
f
wir
e
less
s
en
s
o
r
en
v
ir
o
n
m
e
n
ts
ar
e
u
n
s
ec
u
r
e
d
an
d
d
if
f
icu
lt
to
c
o
n
n
ec
t,
it'
s
d
if
f
icu
lt
to
r
eliab
ly
ex
c
h
an
g
e
k
ey
s
in
th
em
.
On
e
o
f
th
e
ellip
tic
cu
r
v
e
ty
p
es
th
at
o
f
f
er
s
s
e
r
v
ice
o
r
s
o
lv
es
th
e
d
if
f
icu
lty
o
u
tlin
ed
is
th
e
Dif
f
i
e
-
Hellm
an
k
e
y
.
W
h
en
two
p
a
r
ties
ex
ch
an
g
e
k
e
y
s
,
b
u
t
t
h
o
s
e
k
ey
s
ar
e
s
u
b
jecte
d
to
p
ar
ticu
lar
p
r
o
ce
s
s
es
b
y
th
e
s
am
e
p
ar
ty
af
te
r
th
e
s
witch
u
n
til
it
b
ec
o
m
es
a
k
ey
en
c
r
y
p
tio
n
b
y
th
at
p
a
r
ty
.
T
h
e
d
if
f
icu
lty
o
f
g
u
ess
in
g
th
e
ty
p
e
o
f
o
p
er
atio
n
an
d
th
e
d
ig
its
in
wh
ich
th
e
lay
er
o
f
in
q
u
ir
y
led
to
th
is
ex
it
is
th
e
p
r
in
cip
le
o
f
p
o
wer
in
th
e
Dif
f
ie
-
Hellm
an
k
ey
[
2
2
]
.
T
h
er
ef
o
r
e,
it’s
cr
u
cial
to
g
et
th
e
g
r
o
u
p
o
p
er
atio
n
u
p
an
d
r
u
n
n
in
g
as
ef
f
icien
tly
as
p
o
s
s
ib
le.
Ma
n
y
o
p
tio
n
s
h
a
v
e
b
ee
n
c
o
n
s
id
er
ed
,
h
o
wev
e
r
h
o
w
to
o
p
ti
m
ize
t
h
e
L
-
m
ai
n
s
en
s
o
r
'
s
g
r
o
u
p
o
p
er
atio
n
is
ty
p
ically
in
f
lu
en
ce
d
b
y
th
e
u
n
d
er
ly
in
g
s
y
s
tem
[
2
0
]
,
[
2
2
]
.
T
h
at
s
o
m
e
p
o
in
ts
o
n
an
ellip
tic
cu
r
v
e
with
af
f
in
e
co
o
r
d
in
ates,
as
d
ef
in
ed
a
b
o
v
e
,
m
u
s
t
b
e
r
ep
r
esen
ted
.
T
h
e
n
to
a
d
d
two
1
=
(
1
,
1
)
an
d
2
=
(
2
,
2
)
,
wh
er
e
1
≠
2
,
it
is
n
ec
ess
ar
y
to
g
et
th
e
s
lo
p
e
o
f
th
e
lin
e
th
at
p
ass
es th
r
o
u
g
h
th
em
:
=
(
2
−
1
)
(
2
−
1
)
⁄
(
2
)
T
h
is
n
ec
ess
itate
s
d
iv
is
io
n
in
t
h
e
lim
ited
f
ield
b
en
ea
th
.
T
h
e
n
f
ig
u
r
e
o
u
t
wh
er
e
th
e
lin
e
in
te
r
s
ec
ts
th
e
cu
r
v
e
f
o
r
th
e
t
h
ir
d
tim
e,
it is
f
o
u
n
d
t
h
at
(
−
1
)
=
(
3
,
3
)
,
wh
er
e
:
3
=
2
−
1
−
2
(
3
)
f
o
r
t
h
e
f
in
ite
f
ield
(
≠
2
3
)
,
f
o
r
m
in
g
th
e
s
u
m
n
ec
ess
itates
o
n
e
d
iv
is
io
n
,
o
n
e
s
q
u
ar
in
g
,
a
n
d
o
n
e
m
u
ltip
licatio
n
,
wh
e
n
two
a
f
f
in
e
p
o
in
ts
with
d
if
f
er
e
n
t
−
co
o
r
d
i
n
ates
ar
e
co
m
b
in
ed
,
ar
e
o
cc
asio
n
ally
u
tili
ze
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
347
-
3
5
7
352
T
r
ip
les
o
f
co
o
r
d
in
ates
ar
e
u
s
ed
in
weig
h
te
d
p
r
o
jectiv
e
co
o
r
d
in
ates
(
,
,
)
,
co
r
r
esp
o
n
d
in
g
to
th
e
af
f
in
e
c
o
o
r
d
i
n
a
t
e
s
(
2
⁄
,
3
⁄
)
w
h
e
n
e
v
e
r
≠
0
.
W
e
i
g
h
t
e
d
p
r
o
j
e
c
t
i
v
e
c
o
o
r
d
i
n
a
t
e
s
h
av
e
t
h
e
a
d
v
a
n
t
a
g
e
o
f
a
l
l
o
w
i
n
g
p
o
i
n
t
a
d
d
i
t
i
o
n
o
n
a
n
e
l
l
i
p
t
i
c
c
u
r
v
e
t
o
b
e
d
o
n
e
i
n
1
6
f
i
e
l
d
m
u
l
t
i
p
l
i
c
a
ti
o
n
s
i
n
s
t
e
a
d
o
f
a
l
l
f
i
el
d
d
i
v
i
s
i
o
n
s
[
2
0
]
,
[
22]
.
T
h
e
s
tep
s
o
f
th
e
E
C
DH
alg
o
r
it
h
m
ar
e
as f
o
llo
ws:
−
Select
a
n
u
m
b
er
(
)
wh
ich
m
u
s
t
b
e
p
r
im
ar
y
an
d
lar
g
er
th
an
3
.
−
Select
two
n
u
m
b
er
s
(
,
)
.
W
h
er
e
(
(
4
3
+
27
2
)
≠
0
)
.
−
Fin
d
th
e
s
et
o
f
p
o
in
ts
(
)
o
n
th
e
ellip
tic
cu
r
v
e
th
r
o
u
g
h
th
is
eq
u
atio
n
2
=
3
+
+
o
v
er
Z
.
T
h
e
ad
d
itio
n
r
u
le
:
i.
+
=
+
(
)
ii.
=
(
,
)
(
)
,
ℎ
(
,
)
+
(
1
,
−
)
=
(
1
,
−
)
is
d
en
o
ted
b
y
–
P,
an
d
is
ca
lled
th
e
n
eg
ativ
e
o
f
P; th
at
–
P is
in
d
ee
d
a
p
o
in
t o
n
th
e
cu
r
v
e.
iii.
L
et
=
(
1
,
1
)
∈
(
)
2
=
(
2
,
2
)
∈
(
)
,
ℎ
≠
−
.
T
h
en
+
=
(
3
,
3
)
,
wh
er
e
:
3
=
2
−
1
−
2
(
4
)
3
=
(
1
−
3
)
−
1
(
5
)
an
d
=
(
2
−
1
)
(
2
−
1
)
⁄
≠
(
6
)
=
(
3
1
2
+
1
)
2
1
⁄
=
(
7
)
T
h
en
a
r
a
n
d
o
m
p
o
i
n
t is ch
o
o
s
es f
r
o
m
s
et
o
f
p
o
in
ts
(
G)
f
r
o
m
s
et
o
f
p
o
in
ts
:
−
C
h
o
ice
o
f
a
lar
g
e
n
u
m
b
er
.
−
User
a
k
ey
g
en
e
r
atio
n
:
i.
Select
p
r
iv
et
with
co
n
d
itio
n
<
ii.
C
alcu
late
p
u
b
lic
=
×
(
8
)
−
User
B
k
ey
g
en
er
atio
n
:
i.
Select
p
r
iv
et
with
co
n
d
itio
n
<
ii.
C
alcu
late
p
u
b
lic
=
×
(
9
)
−
T
h
e
two
s
id
es e
x
ch
an
g
e
k
ey
s
(
,
)
.
−
C
alcu
late
o
f
s
ec
r
et
k
ey
b
y
u
s
e
r
A
:
=
×
(
1
0
)
−
C
alcu
late
o
f
s
ec
r
et
k
e
y
b
y
us
e
r
B
:
=
×
(
11)
−
C
o
n
v
er
t th
e
p
ac
k
et
d
ata
to
a
s
et
o
f
p
o
i
n
ts
(
)
.
An
d
th
en
u
s
e
th
e
f
o
llo
win
g
en
cr
y
p
tio
n
eq
.
f
o
r
:
=
{
,
+
}
(
1
2
)
−
Dec
r
y
p
tio
n
f
o
r
,
u
s
e
th
e
f
o
llo
win
g
:
+
−
(
)
=
+
(
)
−
(
)
=
(
1
3
)
4
.
2
.
RSA
a
lg
o
rit
hm
T
h
e
o
r
ig
in
al
R
SA
alg
o
r
ith
m
was
p
u
b
licly
illu
s
tr
ated
in
1
9
7
7
.
T
h
is
alg
o
r
ith
m
co
n
s
is
ts
o
f
t
h
r
ee
s
tag
es
n
am
ely
k
ey
g
en
er
atio
n
,
th
e
en
cr
y
p
tio
n
an
d
f
i
n
ally
th
e
d
e
c
o
d
in
g
s
tag
e.
R
SA
is
o
n
e
o
f
th
e
cr
y
p
to
g
r
ap
h
ic
alg
o
r
ith
m
s
,
wh
ich
ar
e
a
n
o
n
-
s
y
m
m
etr
ic
ty
p
e
an
d
th
u
s
n
ee
d
a
p
air
o
f
k
e
y
s
,
o
n
e
o
f
wh
ic
h
is
u
s
ed
f
o
r
en
cr
y
p
tio
n
an
d
m
a
y
b
e
n
o
n
-
co
n
f
id
en
tial
.
T
h
e
o
th
e
r
is
th
e
k
e
y
t
o
d
e
cr
y
p
tio
n
,
wh
ich
is
p
r
iv
ate
a
n
d
co
n
f
id
en
tial
an
d
au
th
o
r
ized
o
n
ly
to
d
ec
r
y
p
t
t
h
e
d
ata
s
en
t.
T
h
is
alg
o
r
ith
m
em
p
lo
y
s
two
lar
g
e
p
r
im
e
n
u
m
b
er
s
,
p
a
n
d
q
.
T
h
e
s
tr
en
g
th
o
f
th
is
s
ch
em
e
is
b
ased
o
n
th
e
d
if
f
icu
lty
o
f
f
in
d
in
g
th
ese
lar
g
e
in
itial
n
u
m
b
e
r
s
th
at
ar
e
in
d
is
p
en
s
ab
le
f
o
r
f
in
d
i
n
g
th
e
s
ec
r
et
k
ey
wh
ile
th
e
p
u
b
lic
k
e
y
ca
n
b
e
f
r
ee
ly
d
is
tr
ib
u
ted
.
T
h
e
R
SA
p
h
ases
an
d
s
tep
s
o
f
ea
ch
p
h
ase
ar
e
as f
o
ll
o
w
[
2
4
]
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Da
ta
tr
a
n
s
mitted
en
cryp
tio
n
f
o
r
clu
s
teri
n
g
p
r
o
to
co
l in
h
eter
o
g
en
eo
u
s
w
ir
eles
s
s
en
s
o
r
…
(
Mo
h
d
A
li Ha
s
s
a
n
)
353
Key
g
en
er
atio
n
alg
o
r
ith
m
:
Step
1
:
Select
o
r
g
en
er
ate
two
lar
g
e
r
a
n
d
o
m
p
r
im
e
n
u
m
b
e
r
s
,
an
d
.
Step
2
:
C
o
m
p
u
te
=
×
.
Step
3
:
C
o
m
p
u
te
∅
=
(
−
1
)
(
−
1
)
.
Step
4
:
Select
r
an
d
o
m
in
teg
e
r
,
1
<
<
∅
,
s
u
ch
(
,
∅
)
=
1
.
Step
5
:
C
o
m
p
u
te,
wh
er
e
=
−
1
∅
.
Step
6
:
Pu
b
lic
Key
:
(
,
)
.
Step
7
:
Priv
ate
Key
:
(
)
.
E
n
cr
y
p
tio
n
p
r
o
ce
s
s
:
Step
1
:
Su
p
p
o
s
e
en
tity
n
ee
d
s
to
s
en
d
m
ess
ag
e
to
en
t
ity
.
W
h
en
m
: p
lain
tex
t.
Step
2
:
E
n
tity
s
h
o
u
ld
s
en
d
h
is
p
u
b
lic
k
ey
to
e
n
tity
.
Step
3
:
E
n
tity
will e
n
cr
y
p
t
as
=
,
an
d
will sen
d
to
en
tity
.
W
h
er
e
:
c
ip
h
er
tex
t.
Dec
r
y
p
tio
n
p
r
o
ce
s
s
:
Step
1
:
E
n
tity
will d
ec
r
y
p
t t
h
e
r
ec
eiv
ed
m
ess
ag
e
as
=
.
4
.
3
.
Da
t
a
a
g
g
re
g
a
t
io
n in a
s
e
cure
env
iro
nm
ent
I
n
C
C
R
M
-
b
ased
HW
SN,
b
ec
au
s
e
it
r
ec
eiv
es,
p
r
o
ce
s
s
es,
an
d
r
etr
an
s
m
its
d
ata
.
W
h
en
co
m
p
ar
ed
to
an
L
-
Sen
s
o
r
,
an
H
-
Sen
s
o
r
r
e
q
u
ir
es
m
o
r
e
en
er
g
y
.
T
h
is
lev
el
at
tem
p
ts
to
r
ed
u
ce
th
e
u
tili
za
ti
o
n
o
f
th
e
H
-
en
er
g
y
Sen
s
o
r
b
y
allo
win
g
it
to
c
o
llect
en
cr
y
p
ted
d
ata
f
r
o
m
clu
s
ter
m
em
b
er
s
with
o
u
t
h
av
in
g
to
d
ec
r
y
p
t
it.
As
a
r
esu
lt,
t
h
e
attac
k
er
will
b
e
u
n
ab
le
to
lis
ten
in
o
n
d
ata
s
en
t
b
etwe
en
in
ter
m
ed
iate
n
o
d
es
.
As
a
r
esu
lt,
s
tan
d
ar
d
ag
g
r
eg
atio
n
ap
p
r
o
ac
h
es
p
r
o
v
id
e
f
ar
less
p
r
iv
ac
y
.
T
o
d
o
th
at,
we
u
s
e
th
e
R
SA
en
cr
y
p
tio
n
'
s
ad
d
itio
n
ch
ar
ac
ter
is
tic
.
W
h
ich
allo
ws
u
s
to
ex
ec
u
te
ar
ith
m
etic
o
p
er
ati
o
n
s
o
n
cip
h
e
r
tex
t,
as
it
d
escr
ib
ed
at
p
r
ev
io
u
s
p
ar
t
f
r
o
m
th
is
s
ec
tio
n
A.
I
n
th
is
p
r
o
p
o
s
ed
s
ch
em
e,
ea
ch
L
-
s
en
s
o
r
s
en
s
es
d
ata
,
an
d
e
n
cr
y
p
ts
it
with
its
k
ey
as
s
h
o
wn
in
(
1
4
)
a
n
d
s
en
d
s
it to
its
H
-
Sen
s
o
r
.
W
h
er
e
is
th
e
r
o
u
n
d
in
d
e
x
i
n
wh
ich
th
e
n
o
d
e
p
r
o
d
u
ce
d
th
e
k
ey
:
=
(
1
4
)
t
h
e
H
-
Sen
s
o
r
co
llects
m
ess
ag
es
af
ter
r
ec
eiv
in
g
s
en
s
ed
d
ata
an
d
ag
g
r
eg
ates
th
em
b
y
s
im
p
l
y
ad
d
in
g
th
em
u
p
.
as sh
o
wn
in
(
1
5
)
:
=
∑
|
|
=
1
=
∑
|
|
=
1
(
1
5
)
w
h
er
e
|
|
is
th
e
co
u
n
t
o
f
L
-
s
en
s
o
r
s
in
th
e
clu
s
ter
.
Af
ter
a
g
g
r
e
g
atin
g
th
e
d
ata,
th
e
f
in
al
s
tep
is
to
s
en
d
it
to
th
e
B
S.
I
n
o
r
d
er
to
o
r
g
a
n
ize
th
e
d
ata
th
at
h
as
b
ee
n
ag
g
r
eg
ated
,
a
t
th
e
en
d
o
f
th
e
m
ess
ag
e
.
H
-
Sen
s
o
r
will
attac
h
all
n
o
d
e
in
d
ex
es.
T
h
u
s
,
th
e
f
in
al
v
er
s
io
n
o
f
t
h
e
s
en
t
cip
h
er
tex
t
C
T
to
B
S
in
ter
m
s
o
f
to
tal
s
i
ze
(
∗
176
+
∗
13
)
.
5.
SI
M
UL
A
T
I
O
N
P
E
RF
O
R
M
ANCE R
E
SU
L
T
S
T
h
e
s
y
s
tem
th
r
o
u
g
h
p
u
t
was
u
s
ed
to
ass
ess
th
e
s
y
s
tem
'
s
p
er
f
o
r
m
an
ce
,
en
e
r
g
y
co
n
s
u
m
p
tio
n
an
d
th
e
to
tal
d
ata
r
ate
f
o
r
s
en
s
o
r
n
o
d
es
r
o
u
n
d
s
[
2
5
]
.
I
n
th
is
s
ec
tio
n
will
b
e
d
escr
ib
er
d
th
e
s
im
u
la
tio
n
p
ar
em
eter
s
b
y
m
atlab
an
d
im
p
la
n
tatio
n
th
ese
p
ar
am
eter
s
in
s
ec
o
n
d
p
ar
t
f
r
o
m
th
is
s
ec
tio
n
.
Simu
latio
n
R
esu
lt
to
co
m
p
u
te
th
e
Sy
s
tem
Per
f
o
r
m
an
e
to
g
et
r
esu
lt b
etter
th
an
o
th
er
m
eth
o
d
s
wh
ich
co
m
p
ar
ed
with
p
r
o
p
o
s
ed
m
eth
o
d
.
5
.
1
.
Sim
ula
t
i
o
n a
na
ly
s
is
s
et
up
MA
T
L
AB
R
2
0
1
8
a
is
u
s
ed
to
r
u
n
th
e
s
im
u
latio
n
s
.
Fo
r
o
u
r
s
u
g
g
ested
tech
n
iq
u
e,
2
0
0
L
-
s
en
s
o
r
s
an
d
1
0
H
-
s
en
s
o
r
s
a
r
e
r
a
n
d
o
m
ly
d
e
p
lo
y
ed
in
a
to
p
o
g
r
a
p
h
ical
d
i
m
en
s
io
n
al
f
o
r
r
e
g
io
n
(
1
0
0
m
x
1
0
0
m
)
.
Un
d
er
th
e
ch
ess
b
o
ar
d
clu
s
ter
in
g
c
o
n
ce
p
t
H
-
s
en
s
o
r
s
u
s
ed
th
e
cl
u
s
ter
te
ch
n
iq
u
e,
wh
er
ea
s
L
-
s
en
s
o
r
s
wer
e
s
p
r
ea
d
ar
o
u
n
d
th
em
.
On
th
e
o
th
er
h
an
d
,
f
o
r
h
eter
o
g
en
e
o
u
s
s
en
s
o
r
n
etwo
r
k
s
th
e
co
s
ts
o
f
an
H
-
s
en
s
o
r
an
d
an
L
-
s
en
s
o
r
v
ar
y
d
ep
en
d
i
n
g
o
n
th
e
t
y
p
e
o
f
s
en
s
o
r
.
T
h
e
m
an
u
f
ac
tu
r
e
r
,
o
th
e
r
f
a
cto
r
s
,
an
d
t
h
is
is
o
u
ts
id
e
th
e
s
co
p
e
o
f
th
is
p
ap
e
r
.
T
h
e
s
im
u
latio
n
r
u
n
s
f
o
r
1
0
0
0
t
r
an
s
m
is
s
io
n
p
ac
k
ets
(
r
o
u
n
d
s
)
.
A
s
in
g
le
b
ase
s
tatio
n
g
ath
er
s
d
ata
f
r
o
m
n
o
d
es
all
th
r
o
u
g
h
o
u
t
to
wn
(
9
0
m
an
d
90
m
)
.
T
h
e
2
0
an
d
8
0
m
eter
s
o
f
d
etec
ted
tr
an
s
m
is
s
io
n
,
r
esp
e
ctiv
ely
,
th
e
s
tar
tin
g
en
er
g
y
o
f
all
L
-
s
en
s
o
r
s
an
d
H
-
s
en
s
o
r
s
is
0
.
5
an
d
2
.
5
J
,
r
esp
ec
tiv
ely
.
All
s
en
s
o
r
s
ar
e
s
tatio
n
ar
y
a
n
d
th
ei
r
lo
ca
tio
n
s
ar
e
k
n
o
wn
,
if
ad
eq
u
ate
en
er
g
y
is
av
ailab
le
ea
ch
s
en
s
o
r
ca
n
co
m
m
u
n
icate
d
ir
ec
tly
with
th
e
b
ase
s
tatio
n
.
T
h
e
f
ir
s
t
r
a
d
io
m
o
d
el
is
u
s
ed
to
im
p
lem
e
n
t
th
e
m
eth
o
d
s
,
i
t
is
c
o
m
m
o
n
ly
u
s
ed
in
W
SN
s
f
o
r
e
v
alu
atin
g
r
o
u
tin
g
p
r
o
to
c
o
ls
[
1
0
]
.
T
h
e
n
etwo
r
k
s
i
m
u
latio
n
p
ar
am
ete
r
s
ar
e
d
etailed
in
T
ab
le
1
.
I
n
ad
d
itio
n
,
wh
ile
co
n
s
tr
u
ctin
g
th
e
n
etwo
r
k
s
tr
u
ctu
r
e
with
C
C
,
th
e
n
o
d
es
ar
e
r
an
d
o
m
ly
p
o
s
itio
n
ed
in
th
e
f
ield
,
an
d
th
e
f
ield
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
347
-
3
5
7
354
ce
n
ter
is
p
o
s
itio
n
ed
at
a
r
an
d
o
m
d
is
tan
ce
f
r
o
m
th
e
b
ase
s
tatio
n
.
T
o
ass
es
s
th
e
n
etwo
r
k
'
s
s
ec
u
r
ity
an
d
ef
f
icien
cy
,
c
o
m
p
ar
is
o
n
s
tu
d
ies ar
e
ca
r
r
ied
o
u
t u
s
in
g
s
ev
er
al
s
tate
-
of
-
th
e
-
ar
t te
c
h
n
o
l
o
g
ies
T
ab
le
1
.
Netwo
r
k
si
m
u
latio
n
p
ar
am
eter
s
P
a
r
e
me
t
e
r
s
V
a
l
u
e
A
r
e
a
o
f
S
e
n
so
r
f
i
e
l
d
(
met
e
r
s)
(
100
×
100
)
S
i
n
k
l
o
c
a
t
i
o
n
(
met
e
r
s)
(
90
×
90
m
)
I
d
l
e
S
t
a
t
e
e
n
e
r
g
y
50
⁄
D
a
t
a
a
g
g
r
e
g
a
t
i
o
n
e
n
e
r
g
y
5
⁄
A
mp
l
i
f
i
c
a
t
i
o
n
e
n
e
r
g
y
≥
0
10
2
⁄
⁄
H
-
sen
s
o
r
t
o
b
a
se
s
t
a
t
i
o
n
<
0
0
.
0013
2
⁄
⁄
A
mp
l
i
f
i
c
a
t
i
o
n
e
n
e
r
g
y
≥
1
10
=
1
⁄
L
-
S
e
n
s
o
r
t
o
H
-
S
e
n
s
o
r
10
=
1
⁄
5.
2
.
Sim
ula
t
i
o
n r
esu
lt
s
I
n
th
is
s
ec
tio
n
,
th
e
E
C
DH
-
R
S
A
m
eth
o
d
u
n
d
e
r
C
C
R
M,
th
e
m
en
tio
n
ed
alg
o
r
ith
m
s
E
C
DH
an
d
R
SA
wh
ich
d
escr
ib
ed
at
(
s
ec
tio
n
4
.
1
an
d
4
.
2
)
a
r
e
u
s
ed
to
e
n
cr
y
p
t
th
e
tr
an
s
m
itted
d
ata
th
r
o
u
g
h
t
h
at
n
etwo
r
k
.
I
n
th
is
s
ec
tio
n
,
t
h
e
s
im
u
latio
n
s
ce
n
ar
i
o
s
ar
e
r
ea
lly
s
p
ec
if
ic
to
s
h
o
w
th
e
ef
f
ec
t
o
f
en
c
r
y
p
tio
n
o
p
er
a
tio
n
o
n
th
e
en
e
r
gy
co
n
s
u
m
ed
o
f
th
e
n
etwo
r
k
s
en
s
o
r
s
u
n
d
er
th
e
p
er
f
o
r
m
an
ce
o
f
ch
ee
s
eb
o
ar
d
clu
s
ter
in
g
,
b
alan
cin
g
en
er
g
y
co
n
s
u
m
p
tio
n
b
y
c
o
m
p
ar
i
n
g
w
ith
th
r
ee
m
eth
o
d
s
(
Sec
-
L
E
AC
H
[
2
6
]
a
n
d
SL
-
L
E
AC
H
[
7
]
,
a
n
d
o
u
r
p
r
o
p
o
s
ed
)
.
Fig
u
r
e
8
d
e
p
icts
th
e
p
r
o
p
o
s
ed
m
eth
o
d
'
s
f
lo
wch
ar
t
.
Fig
u
r
e
8
.
Flo
wch
ar
t
f
o
r
p
r
o
p
o
s
ed
m
eth
o
d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
Da
ta
tr
a
n
s
mitted
en
cryp
tio
n
f
o
r
clu
s
teri
n
g
p
r
o
to
co
l in
h
eter
o
g
en
eo
u
s
w
ir
eles
s
s
en
s
o
r
…
(
Mo
h
d
A
li Ha
s
s
a
n
)
355
Fig
u
r
e
9
d
ep
icts
t
h
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
as
ca
n
b
e
o
b
s
er
v
ed
,
o
u
tp
e
r
f
o
r
m
s
E
C
DH
-
R
SA
in
th
is
ar
ea
.
T
h
e
p
r
o
p
o
s
ed
s
tr
ateg
y
ex
ten
d
ed
th
e
n
etwo
r
k
life
tim
e
b
y
a
lm
o
s
t
(
4
7
%
an
d
3
5
.
7
%)
co
m
p
ar
ed
to
t
h
e
(
Sec
-
L
E
AC
H
,
an
d
SL
-
L
E
AC
H
)
s
ec
u
r
ity
ap
p
r
o
ac
h
es,
r
esp
ec
tiv
ely
.
Fu
r
th
er
m
o
r
e,
as
s
h
o
wn
in
Fig
u
r
e
9
,
th
e
s
u
g
g
e
s
t
e
d
m
e
t
h
o
d
'
s
n
u
m
b
e
r
o
f
l
i
v
i
n
g
n
o
d
e
s
i
s
a
l
w
a
y
s
g
r
e
a
t
e
r
t
h
a
n
b
o
t
h
S
e
c
-
L
E
A
C
H
a
n
d
SL
-
L
E
A
C
H
.
T
a
b
l
e
2
d
is
p
lay
s
th
e
v
ar
io
u
s
tim
e
in
ter
v
als
r
elate
d
to
th
e
f
ir
s
t
d
ea
d
n
o
d
e
as
d
eter
m
in
ed
b
y
th
e
th
r
ee
d
if
f
er
en
t
ap
p
r
o
ac
h
es.
C
lear
ly
,
th
e
tim
e
it
tak
es
f
o
r
th
e
f
ir
s
t
n
o
d
e
to
d
i
e
in
th
e
s
u
g
g
ested
tech
n
iq
u
e
i
s
m
u
ch
lo
n
g
e
r
th
an
in
Sec
-
L
E
AC
H
an
d
SL
-
L
E
AC
H
.
T
ab
le
2
.
Nu
m
b
er
o
f
r
o
u
n
d
s
to
ex
ten
d
th
e
n
etwo
r
k
life
tim
e
b
y
co
m
p
u
te
f
ir
s
t d
ea
d
n
o
d
e
f
o
r
d
if
f
er
en
t
ap
p
r
o
ac
h
es
A
p
p
r
o
a
c
h
e
s
S
e
c
-
LEA
C
H
Sl
-
LEA
C
H
P
r
o
p
o
se
d
Li
f
e
t
i
me
o
f
t
h
e
f
i
r
st
d
e
a
d
n
o
d
e
(
R
o
u
n
d
s)
6
8
2
9
1
7
1
4
3
9
Fo
r
th
e
th
r
ee
tech
n
iq
u
es,
Fig
u
r
e
1
0
s
h
o
ws
th
e
to
tal
en
er
g
y
co
n
s
u
m
ed
b
y
a
W
SN
as
a
f
u
n
ctio
n
o
f
tr
an
s
m
is
s
io
n
r
o
u
n
d
s
.
B
ec
au
s
e
it
u
s
es
less
p
o
wer
an
d
h
as
th
e
lo
n
g
est
n
etwo
r
k
life
tim
e,
th
e
s
u
g
g
ested
m
eth
o
d
o
u
tp
er
f
o
r
m
s
two
o
th
e
r
way
s
(
Sec
-
L
E
AC
H
an
d
SL
-
L
E
AC
H
)
wh
en
th
e
r
o
u
n
d
n
u
m
b
er
i
n
th
e
r
eg
io
n
g
r
o
ws.
T
h
is
s
u
g
g
es
ts
th
at
th
e
p
r
o
p
o
s
ed
s
tr
ateg
y
ac
h
iev
es
a
b
ette
r
en
er
g
y
b
alan
ce
in
a
W
SN.
T
h
e
F
ig
u
r
es
1
0
-
12
s
h
o
w
s
th
e
en
er
g
y
u
s
ag
e
in
r
el
atio
n
to
d
ata
r
ate,
s
im
u
latio
n
r
o
u
n
d
s
,
an
d
th
e
n
u
m
b
e
r
o
f
s
e
n
s
o
r
s
,
r
esp
ec
tiv
ely
.
W
h
en
co
m
p
a
r
ed
t
o
tr
ad
itio
n
a
l
ch
ee
s
eb
o
ar
d
clu
s
ter
in
g
,
th
e
en
er
g
y
co
n
s
u
m
p
tio
n
d
u
r
in
g
e
n
cr
y
p
tio
n
is
lo
wer
.
T
ab
le
3
s
h
o
ws
th
at
th
e
s
u
g
g
ested
m
eth
o
d
b
ea
ts
ex
is
tin
g
alter
n
ativ
es
in
ter
m
s
o
f
e
n
er
g
y
u
s
ag
e,
d
ata
r
ate,
an
d
s
en
s
o
r
n
o
d
e
h
ig
h
est
p
ath
.
W
h
en
co
m
p
a
r
ed
to
ex
is
tin
g
way
s
,
we
s
ee
th
at
th
e
p
r
o
p
o
s
ed
m
eth
o
d
u
s
es
less
en
er
g
y
.
As
a
r
esu
lt
o
f
th
e
i
n
cr
ea
s
ed
p
o
wer
co
n
s
u
m
p
tio
n
,
o
th
er
n
o
d
es
wer
e
s
u
b
jecte
d
to
in
cr
ea
s
ed
lo
ad
,
r
ed
u
cin
g
t
h
e
n
etwo
r
k
life
n
o
d
e
o
v
er
tim
e.
T
h
is
r
esu
lted
in
l
o
wer
p
o
wer
u
s
ag
e
an
d
a
lo
n
g
e
r
n
etwo
r
k
life
.
I
n
an
id
ea
l w
o
r
ld
,
all
n
o
d
es sh
o
u
ld
h
av
e
th
e
s
am
e
am
o
u
n
t o
f
lef
to
v
er
en
er
g
y
.
Fig
u
r
e
9
.
L
if
etim
e
s
im
u
latio
n
o
f
aliv
e
n
o
d
e
f
o
r
d
if
f
er
en
t
d
if
f
er
e
n
t th
r
ee
a
p
p
r
o
ac
h
es (
Sec
-
L
E
AC
H
,
SL
-
L
E
AC
H
,
an
d
p
r
o
p
o
s
ed
m
e
th
o
d
)
Fig
u
r
e
1
0
.
T
o
tal
en
er
g
y
c
o
n
s
u
m
ed
with
r
esp
ec
t to
d
ata
r
ate
f
o
r
d
if
f
e
r
en
t th
r
ee
ap
p
r
o
ac
h
es (
Sec
-
L
E
AC
H
,
SL
-
L
E
AC
H
,
an
d
p
r
o
p
o
s
ed
m
e
th
o
d
)
Fig
u
r
e
1
1
.
Netwo
r
k
en
e
r
g
y
co
n
s
u
m
p
tio
n
f
o
r
d
if
f
er
en
t th
r
ee
ap
p
r
o
ac
h
es (
S
-
L
E
AC
H,
s
ec
-
L
E
AC
H,
an
d
p
r
o
p
o
s
ed
m
eth
o
d
)
Fig
u
r
e
1
2
.
T
o
tal
en
er
g
y
c
o
n
s
u
m
ed
with
r
esp
ec
t to
n
u
m
b
er
o
f
s
en
s
o
r
s
f
o
r
d
i
f
f
er
en
t
th
r
ee
ap
p
r
o
ac
h
es
(
Sec
-
L
E
AC
H
,
SL
-
L
E
AC
H
,
a
n
d
p
r
o
p
o
s
ed
m
eth
o
d
)
Evaluation Warning : The document was created with Spire.PDF for Python.
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en
s
o
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n
etwo
r
k
h
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an
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e
o
f
ch
o
o
s
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g
t
h
e
p
r
o
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er
p
ath
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o
r
tr
an
s
m
itti
n
g
th
e
d
ata
f
r
o
m
th
e
s
en
s
o
r
s
to
th
e
b
ase
s
tatio
n
.
T
h
e
p
o
wer
c
o
n
s
u
m
p
tio
n
o
f
en
c
r
y
p
tio
n
d
u
r
in
g
th
e
en
cr
y
p
tio
n
o
p
er
atio
n
is
in
cr
e
ased
as
a
tax
to
m
a
k
e
th
e
d
a
ta
tr
an
s
m
itted
o
v
er
th
e
n
etw
o
r
k
s
ec
u
r
e.
Desp
ite
s
ig
n
if
ican
t
ad
v
an
ce
s
in
s
ec
u
r
e
W
SN
clu
s
ter
in
g
.
I
n
th
is
p
ap
er
,
to
s
ec
u
r
e
d
ata
tr
an
s
m
is
s
i
o
n
in
HW
SNs
with
d
y
n
am
ic
cl
u
s
ter
in
g
,
we
p
r
esen
t
a
u
n
i
q
u
e
en
c
r
y
p
tio
n
s
ch
e
m
a
b
ased
o
n
E
C
DH
an
d
R
SA
en
cr
y
p
tio
n
.
T
h
e
ch
ee
s
eb
o
ar
d
cl
u
s
ter
in
g
alg
o
r
i
th
m
is
u
s
ed
to
f
in
d
t
h
e
m
o
s
t
s
u
itab
le
s
en
s
o
r
n
o
d
es
as
H
-
s
en
s
o
r
s
to
r
elay
m
ess
ag
es
to
th
e
b
ase
s
tatio
n
,
with
th
e
p
u
r
p
o
s
e
o
f
m
ax
im
izi
n
g
th
e
n
et
wo
r
k
'
s
life
tim
e.
T
h
en
as
a
r
esu
lt,
ev
en
if
th
e
H
-
s
en
s
o
r
is
co
m
p
r
o
m
is
ed
,
th
e
attac
k
er
will
n
o
t
b
e
ab
l
e
to
s
ee
an
y
th
i
n
g
b
ec
au
s
e
t
h
e
H
-
s
en
s
o
r
is
n
o
t
r
esp
o
n
s
ib
le
f
o
r
e
n
cr
y
p
tin
g
s
ig
n
als.
I
n
co
m
p
a
r
is
o
n
to
o
t
h
er
way
s
,
th
e
p
r
o
v
i
d
ed
r
esu
lts
s
h
o
w
th
at
th
is
s
tr
ateg
y
en
h
an
ce
s
n
etwo
r
k
p
er
f
o
r
m
a
n
c
e
in
ter
m
s
o
f
e
n
er
g
y
u
s
ag
e
s
ig
n
if
ican
tly
.
RE
F
E
R
E
NC
E
S
[
1
]
A
.
O
u
a
d
j
a
o
u
t
,
M
.
B
a
g
a
a
,
A
.
B
a
c
h
i
r
,
Y
.
C
h
a
l
l
a
l
,
N
.
La
s
l
a
,
a
n
d
L.
K
h
e
l
l
a
d
i
,
“
I
n
f
o
r
ma
t
i
o
n
S
e
c
u
r
i
t
y
i
n
W
i
r
e
l
e
ss
S
e
n
so
r
N
e
t
w
o
r
k
s,
”
i
n
E
n
c
y
c
l
o
p
e
d
i
a
o
n
A
d
H
o
c
a
n
d
U
b
i
q
u
i
t
o
u
s
C
o
m
p
u
t
i
n
g
:
T
h
e
o
ry
a
n
d
D
e
si
g
n
o
f
W
i
rel
e
ss
A
d
H
o
c
,
S
e
n
s
o
r,
a
n
d
Me
s
h
N
e
t
w
o
r
k
s
,
2
0
1
0
,
p
p
.
4
2
7
-
4
7
1
,
d
o
i
:
1
0
.
1
1
4
2
/
9
7
8
9
8
1
2
8
3
3
4
9
5
_
0
0
1
7
.
[
2
]
Y
.
S
a
b
r
i
a
n
d
N
.
E
l
K
a
mo
u
n
,
“
A
t
t
a
c
k
s
a
n
d
S
e
c
u
r
e
G
e
o
g
r
a
p
h
i
c
R
o
u
t
i
n
g
i
n
W
i
r
e
l
e
ss
S
e
n
so
r
N
e
t
w
o
r
k
s,
”
I
n
d
o
n
e
si
a
n
J
o
u
rn
a
l
o
f
El
e
c
t
r
i
c
a
l
En
g
i
n
e
e
r
i
n
g
a
n
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
(
I
J
E
EC
S
)
,
v
o
l
.
5
,
n
o
.
1
,
p
p
.
1
4
7
-
1
5
8
,
2
0
1
7
,
d
o
i
:
1
0
.
1
1
5
9
1
/
i
j
e
e
c
s
.
v
5
.
i
1
.
p
p
1
4
7
-
1
5
8
.
[
3
]
M
.
M
o
h
a
n
a
p
r
i
y
a
,
N
.
Jo
s
h
i
,
a
n
d
M
.
S
o
n
i
,
“
S
e
c
u
r
e
d
y
n
a
mi
c
s
o
u
r
c
e
r
o
u
t
i
n
g
p
r
o
t
o
c
o
l
f
o
r
d
e
f
e
n
d
i
n
g
b
l
a
c
k
h
o
l
e
a
t
t
a
c
k
s
i
n
m
o
b
i
l
e
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