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p
r
o
p
o
s
ed
s
y
s
te
m
is
to
ad
d
r
ess
th
e
p
r
o
b
le
m
s
ass
o
ciate
d
w
it
h
t
h
e
d
ata
r
e
liab
ilit
y
a
s
w
ell
as
en
er
g
y
e
f
f
icien
c
y
j
o
in
tl
y
s
o
t
h
at
t
h
i
s
p
r
o
b
lem
ca
n
b
e
in
v
es
tig
a
ted
f
o
r
its
ef
f
ec
t o
v
er
th
e
n
et
w
o
r
k
l
if
eti
m
e
p
er
f
o
r
m
a
n
ce
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
also
d
i
s
cu
s
s
es
ab
o
u
t
a
m
e
s
s
a
g
e
p
r
io
r
itizatio
n
s
ch
e
m
e
th
at
p
er
f
o
r
m
s
elec
tio
n
tr
an
s
m
is
s
io
n
o
f
d
ata
p
ac
k
et
o
n
t
h
e
b
asis
o
f
ti
m
e
f
ac
to
r
an
d
s
en
s
o
r
n
o
d
e.
T
h
e
o
r
g
an
izatio
n
o
f
th
e
p
r
o
p
o
s
ed
p
ap
er
is
as
f
o
llo
w
s
:
Sectio
n
1
.
1
d
is
cu
s
s
es
ab
o
u
t
t
h
e
ex
i
s
tin
g
liter
at
u
r
e
w
h
er
e
d
i
f
f
er
e
n
t
tech
n
iq
u
es
ar
e
d
is
cu
s
s
ed
f
o
r
d
etec
tio
n
s
ch
e
m
es
u
s
ed
in
p
o
w
er
tr
an
s
m
i
s
s
io
n
lin
e
s
f
o
llo
w
ed
b
y
d
is
cu
s
s
io
n
o
f
r
esear
ch
p
r
o
b
lem
s
i
n
Sectio
n
1
.
2
,
th
e
p
r
o
b
lem
s
tate
m
en
t
d
escr
ib
es
in
s
ec
tio
n
1
.
2
.
1
an
d
p
r
o
p
o
s
ed
s
o
lu
tio
n
i
n
1
.
3
.
Sectio
n
2
d
is
cu
s
s
es
ab
o
u
t
alg
o
r
ith
m
i
m
p
le
m
e
n
tat
io
n
f
o
llo
wed
b
y
d
is
cu
s
s
io
n
o
f
r
esu
lt
a
n
a
l
y
s
i
s
in
Sect
io
n
3
.
Fin
all
y
,
t
h
e
co
n
cl
u
s
i
v
e
r
e
m
ar
k
s
ar
e
p
r
o
v
id
ed
in
Sectio
n
4
.
T
h
is
s
ec
tio
n
d
is
c
u
s
s
es
ab
o
u
t
th
e
ex
is
ti
n
g
r
esear
c
h
w
o
r
k
s
th
at
ca
r
r
ied
in
t
h
e
d
i
v
is
io
n
o
f
e
n
er
g
y
ef
f
icien
t
d
ata
r
eliab
ilit
y
i
n
W
SN.
T
h
e
w
o
r
k
ca
r
r
ied
o
u
t
b
y
A
lip
io
et
al
.
[
1
1
]
h
av
e
co
n
ce
n
tr
ated
o
n
th
e
i
s
s
u
e
r
elate
d
w
it
h
r
eliab
le
d
ata
tr
an
s
m
i
s
s
io
n
an
d
p
r
o
p
o
s
ed
ca
ch
e
b
ased
tr
a
f
f
ic
co
n
tr
o
l
p
r
o
to
co
l
w
h
ich
u
t
ilize
s
in
f
o
r
m
atio
n
r
eso
u
r
ce
f
r
o
m
th
e
ca
c
h
e
m
a
n
ag
e
m
e
n
t
p
r
o
g
r
a
m
to
r
e
co
v
er
t
h
e
p
ac
k
e
t
lo
s
s
e
s
i
n
W
S
N.
T
h
e
ex
p
er
i
m
e
n
tal
o
u
tco
m
e
s
o
f
p
r
esen
ted
ap
p
r
o
ac
h
ac
h
ie
v
es
g
o
o
d
i
m
p
r
o
v
e
m
e
n
t
co
m
p
ar
ed
to
b
ase
lin
e
p
r
o
to
co
ls
an
d
ex
is
t
in
g
ca
c
h
e
b
ased
tr
an
s
p
o
r
t
p
r
o
to
co
ls
in
t
er
m
s
o
f
e
n
d
-
to
-
en
d
d
ela
y
a
n
d
ca
ch
e
u
til
izatio
n
.
A
l
s
h
a
h
ee
n
a
n
d
R
izk
[
1
2
]
h
av
e
co
n
s
id
er
ed
en
er
g
y
p
r
o
b
le
m
a
n
d
p
ac
k
e
t
lo
s
s
i
n
b
o
d
y
s
en
s
o
r
n
et
w
o
r
k
.
T
h
e
au
th
o
r
h
a
v
e
u
s
ed
l
in
e
ar
n
et
w
o
r
k
co
d
in
g
ap
p
r
o
ac
h
to
i
m
p
r
o
v
e
d
ata
r
eliab
ili
t
y
b
y
co
m
p
u
t
in
g
th
e
p
r
o
b
ab
ilit
y
o
f
s
u
cc
es
s
f
u
l
p
ac
k
et
r
ec
eiv
in
g
at
th
e
s
in
k
n
o
d
e.
T
h
e
w
o
r
k
o
f
D
u
an
et
al
.
[
1
3
]
h
av
e
d
esig
n
a
n
i
m
p
r
o
v
ed
s
o
f
t
w
ar
e
d
ef
i
n
ed
n
et
w
o
r
k
f
o
r
ad
d
r
ess
in
g
t
h
e
is
s
u
e
o
f
en
er
g
y
co
n
s
u
m
p
tio
n
a
n
d
r
eliab
ilit
y
i
n
in
d
u
s
tr
ial
W
SN.
E
ls
af
r
a
w
e
y
e
t
al
.
[
1
4
]
h
av
e
p
r
esen
ted
s
el
f
-
r
ec
o
v
er
y
s
h
u
f
f
le
d
d
is
tr
ib
u
ted
ap
p
r
o
ac
h
u
s
in
g
p
r
o
ac
tiv
e
an
d
r
ea
ctiv
e
p
r
o
to
co
l
to
en
h
an
ce
th
e
q
u
alit
y
o
f
d
ata
co
llecte
d
b
y
u
n
atte
n
d
ed
W
SN.
T
h
e
s
tu
d
y
o
f
He
a
n
d
J
ian
g
[
1
5
]
h
av
e
ap
p
lied
ap
p
r
o
ac
h
o
f
Q
u
a
n
t
u
m
m
ec
h
a
n
ic
s
to
e
v
al
u
ati
n
g
an
d
m
o
d
elli
n
g
t
h
e
co
n
s
is
te
n
c
y
o
f
s
e
n
s
o
r
r
ep
o
r
ts
.
J
in
et
al
.
[
1
6
]
h
av
e
c
o
n
s
tr
u
cted
n
o
v
el
o
p
ti
m
izatio
n
f
r
a
m
e
w
o
r
k
f
o
r
I
n
d
u
s
tr
ial
W
SN.
T
h
e
p
r
esen
ted
f
r
a
m
e
w
o
r
k
co
m
p
o
s
ed
o
f
c
h
an
n
el
m
an
a
g
e
m
en
t
la
y
er
f
o
r
i
m
p
r
o
v
in
g
r
eliab
ili
t
y
a
n
d
fl
o
w
-
s
ch
ed
u
li
n
g
la
y
er
f
o
r
r
eso
lv
in
g
te
m
p
o
r
alit
y
f
ac
to
r
in
n
et
w
o
r
k
.
Ka
m
ez
ak
i
et
al
.
[
1
7
]
h
av
e
p
r
esen
ted
d
etec
tio
n
s
ch
e
m
e
f
o
r
m
ea
s
u
r
in
g
th
e
r
eliab
ilit
y
o
f
d
ata
co
llec
ted
in
H
y
d
r
au
lic
Ma
n
ip
u
lato
r
s
.
T
h
e
w
o
r
k
o
f
lei
e
t
al
.
[
1
8
]
h
av
e
ex
a
m
i
ne
th
e
e
n
er
g
y
m
a
n
a
g
e
m
e
n
t
p
o
licy
a
n
d
d
esi
g
n
ed
s
c
h
ed
u
li
n
g
a
n
d
allo
ca
tio
n
al
g
o
r
ith
m
f
o
r
r
ed
u
cin
g
h
ea
v
y
p
ac
k
et
lo
s
s
f
o
r
en
er
g
y
h
ar
v
e
s
ti
n
g
i
n
d
u
s
tr
ial
W
SN.
A
r
o
b
u
s
t
a
n
t
-
j
a
m
m
i
n
g
r
o
u
t
in
g
p
r
o
to
c
o
l
is
ad
o
p
ted
in
th
e
s
t
u
d
y
o
f
L
iu
et
al
.
[
1
9
]
in
o
r
d
er
to
ad
d
r
ess
th
e
d
ata
tr
an
s
m
is
s
io
n
p
r
o
b
le
m
in
h
ig
h
m
ed
i
u
m
n
o
is
e
an
d
elec
tr
o
m
a
g
n
etic
i
n
ter
f
er
en
ce
en
v
ir
o
n
m
en
t.
I
n
th
e
s
t
u
d
y
o
f
L
o
n
g
et
a
l
.
[
2
0
]
h
av
e
d
ev
elo
p
ed
a
d
ata
co
llectio
n
s
c
h
e
m
e
th
a
t
en
s
u
r
e
s
th
e
r
eq
u
ir
ed
q
u
alit
y
o
f
s
er
v
ice
f
o
r
o
p
ti
m
izin
g
th
e
to
tal
en
er
g
y
co
n
s
u
m
p
tio
n
an
d
i
m
p
r
o
v
in
g
d
ata
r
eliab
ilit
y
.
An
o
th
er
w
o
r
k
ca
r
r
ied
o
u
t
b
y
L
u
o
et
al
.
[
2
1
]
h
as
p
r
esen
ted
a
n
e
w
ap
p
r
o
ac
h
f
o
r
g
et
tin
g
r
eliab
le
d
ata.
T
h
e
au
th
o
r
h
as
u
s
ed
f
u
s
io
n
m
ec
h
a
n
i
s
m
o
n
r
ed
u
n
d
an
t
d
ata
w
i
th
u
til
izin
g
ap
p
r
o
x
i
m
atio
n
alg
o
r
it
h
m
f
o
r
c
h
ain
a
n
d
tr
ee
to
p
o
lo
g
ies.
I
n
th
e
s
t
u
d
y
o
f
P
ielli
et
al
.
[
2
2
]
h
av
e
s
t
u
d
ied
to
co
m
b
i
n
e
en
e
r
g
y
-
e
f
f
ic
ien
t
f
ac
to
r
w
it
h
o
v
er
all
r
eq
u
ir
ed
Qo
S
o
f
n
et
w
o
r
k
a
n
d
u
s
ed
m
ac
h
i
n
e
le
ar
n
in
g
al
g
o
r
ith
m
i
n
o
r
d
er
to
m
ak
e
s
en
s
o
r
n
o
d
e
ab
le
to
tak
e
s
elf
-
d
ec
is
io
n
f
o
r
u
tili
zi
n
g
th
eir
e
n
er
g
y
f
o
r
tr
an
s
m
is
s
io
n
.
S
u
n
et
al
.
[
2
3
]
h
av
e
p
r
esen
ted
n
o
v
e
l
m
o
d
el
f
o
r
esti
m
ati
n
g
r
eliab
ili
t
y
o
f
en
d
-
to
-
en
d
p
ac
k
et
d
eliv
er
y
an
d
o
p
tim
izi
n
g
t
h
e
tr
an
s
m
is
s
io
n
lin
k
q
u
alit
y
f
o
r
th
e
i
n
d
u
s
tr
ial
W
SN.
T
h
e
o
u
tco
m
e
o
f
p
r
esen
ted
m
o
d
el
ac
h
ie
v
es
g
o
o
d
p
e
r
f
o
r
m
a
n
ce
s
f
o
r
r
eliab
le
d
ata
tr
an
s
m
is
s
io
n
at
n
e
t
w
o
r
k
l
ev
el.
T
en
g
et
al
.
[
2
4
]
h
a
v
e
f
o
r
m
u
l
ated
a
n
o
v
el
o
p
ti
m
izatio
n
s
c
h
e
m
e
b
ased
o
n
b
r
o
ad
ca
s
t
tech
n
o
lo
g
y
f
o
r
en
h
a
n
ci
n
g
t
h
e
r
eliab
ilit
y
an
d
m
i
n
i
m
izi
n
g
t
h
e
co
m
m
u
n
ica
ti
o
n
d
ela
y
in
t
h
e
n
et
w
o
r
k
.
W
an
g
et
al
.
[
2
5
]
h
av
e
in
tr
o
d
u
ce
d
n
o
v
el
a
n
al
y
tical
m
o
d
el
u
s
i
n
g
s
m
ar
t
f
ee
d
er
f
o
r
i
m
p
r
o
v
in
g
r
eliab
ilit
y
f
ac
to
r
o
f
in
te
g
r
ated
c
y
b
er
d
is
tr
ib
u
ted
s
y
s
te
m
s
.
T
h
e
w
o
r
k
o
f
Ya
n
et
al
.
[
2
6
]
h
av
e,
p
r
ese
n
ted
a
clo
s
ed
lo
o
p
b
ased
m
ea
s
u
r
e
m
en
t
m
o
d
el
to
en
h
a
n
ce
t
h
e
ac
cu
r
ac
y
o
f
v
ib
r
an
t
s
e
n
s
o
r
s
.
T
h
e
o
u
tco
m
es
o
f
p
r
esen
ted
ap
p
r
o
ac
h
r
e
v
ea
ls
th
at
it
ac
h
ie
v
e
b
en
ef
icia
l
p
r
o
p
er
ty
f
o
r
r
e
m
o
v
i
n
g
h
u
m
a
n
f
ac
to
r
er
r
o
r
an
d
i
s
m
o
r
e
s
u
itab
le
c
o
m
p
ar
ed
to
o
p
en
lo
o
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[
2
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[
2
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[
2
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h
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tech
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h
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[
3
1
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d
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[
3
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.
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[
3
3
-
3
5
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d
f
o
r
w
ar
d
i
n
g
o
f
t
h
e
ag
g
r
eg
ated
d
ata
p
ac
k
et
in
lar
g
e
s
ca
le.
T
h
e
n
ex
t
s
ec
tio
n
d
is
cu
s
s
es
ab
o
u
t
t
h
e
al
g
o
r
ith
m
i
m
p
le
m
en
tatio
n
f
o
llo
w
ed
b
y
d
is
c
u
s
s
io
n
o
f
th
e
o
u
tco
m
e
o
b
tain
ed
f
r
o
m
its
i
m
p
le
m
en
tat
io
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
9
,
No
.
4
,
A
u
g
u
s
t 2
0
1
9
:
2
8
9
3
-
2901
2896
2.
AL
G
O
RI
T
H
M
I
M
P
L
E
M
E
NT
A
T
I
O
N
T
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
is
co
n
s
tr
u
cted
r
etain
in
g
th
e
u
til
izati
o
n
o
f
W
SN
w
it
h
p
er
v
asi
v
e
co
m
p
u
ti
n
g
i
n
m
i
n
d
an
d
h
e
n
ce
a
p
er
v
asi
v
e
r
ec
o
n
f
i
g
u
r
ab
le
n
et
w
o
r
k
i
s
co
n
s
id
er
ed
f
o
r
m
o
d
eli
n
g
.
T
h
e
a
g
en
d
a
o
f
th
e
d
esi
g
n
p
r
in
cip
le
is
to
o
f
f
er
a
g
o
o
d
b
alan
ce
b
et
w
ee
n
a
n
e
f
f
ec
tiv
e
u
ti
lizatio
n
o
f
a
g
g
r
eg
ated
d
ata
as
w
ell
a
s
en
h
a
n
ci
n
g
th
e
d
ata
r
eliab
ilit
y
w
i
th
a
ter
g
er
o
f
b
etter
en
er
g
y
co
n
s
er
v
a
ti
o
n
.
T
h
e
ch
alle
n
g
e
s
o
f
d
ata
q
u
alit
y
i
s
h
an
d
led
b
y
in
tr
o
d
u
c
i
n
g
a
m
ec
h
a
n
i
s
m
w
h
er
e
a
p
ar
ticu
lar
s
et
o
f
d
ata
is
s
elec
ted
f
o
r
f
o
r
w
ar
d
in
g
o
n
th
e
b
asis
o
f
ti
m
e
an
d
u
r
g
e
n
c
y
le
v
el.
T
h
e
d
is
cu
s
s
io
n
s
o
f
th
e
al
g
o
r
ith
m
ar
e
as f
o
llo
ws:
Alg
o
rit
h
m
f
o
r
Co
ns
t
ruct
ing
P
rio
rit
y
I
nfo
r
m
a
t
io
n
I
np
ut
:
N
(
n
u
m
b
er
o
f
n
et
w
o
r
k
s
)
,
n
(
n
u
m
b
er
o
f
s
en
s
o
r
s
)
,
u
(
n
u
m
b
er
o
f
d
y
n
a
m
ic
u
s
er
s
)
,
E
o
(
in
itialized
en
er
g
y
)
O
utput
: M
A
T
(
m
atr
i
x
to
r
ep
o
s
it p
r
io
r
it
y
in
f
o
r
m
at
io
n
)
Sta
rt
1
.
in
it
N
,
n
,
u
,
E
o
2
.
(
x
,
y
)
r
an
d
_
d
is
t(
n
)
3
.
F
o
r
i
=1
:
t
4
.
F
o
r
j
=1
: u
5
.
μ
(
i
,
j
)
f
(
r
an
d
(
N)
)
6
.
E
nd
7
.
E
nd
8
.
F
o
r
i=
t
9
.
F
o
r
j
=1
:
u
1
0
.
c.
μ
(
i,
j
)
[
c.
μ
(
i,
j
)
+
1
]
1
1
.
E
nd
1
2
.
c
c/∑c
1
3
.
MA
T
c
1
4
.
E
nd
E
nd
T
h
e
ab
o
v
e
alg
o
r
ith
m
i
s
r
es
p
o
n
s
ib
le
f
o
r
es
tab
lis
h
in
g
a
co
n
cr
ete
f
o
u
n
d
atio
n
o
f
d
ata
r
eliab
ilit
y
co
n
s
id
er
in
g
a
ca
s
e
s
tu
d
y
wh
er
e
W
SN
w
i
ll
b
e
d
ep
lo
y
e
d
in
r
ec
o
n
f
i
g
u
r
ab
le
n
et
w
o
r
k
f
o
r
it
s
u
p
co
m
i
n
g
tech
n
o
lo
g
ies.
T
h
e
alg
o
r
ith
m
p
er
f
o
r
m
s
r
an
d
o
m
d
is
tr
ib
u
t
io
n
o
f
th
e
s
en
s
o
r
s
(
L
i
n
e
-
2
)
as
well
as
th
e
co
m
p
lete
n
et
w
o
r
k
(
L
i
n
e
-
4
)
alo
n
g
w
it
h
a
p
lace
m
e
n
t o
f
a
g
ate
w
a
y
i
n
o
r
d
er
to
ass
is
t
i
n
co
m
m
u
n
icatio
n
b
et
w
ee
n
W
SN
an
d
p
er
v
asiv
e
n
e
t
w
o
r
k
.
T
h
e
alg
o
r
ith
m
al
s
o
in
tr
o
d
u
ce
s
a
m
ec
h
a
n
is
m
to
p
er
f
o
r
m
co
m
m
u
n
icati
o
n
w
it
h
r
esp
ec
t
to
th
e
d
y
n
a
m
ic
u
s
er
u
(
L
in
e
-
5
)
as
w
el
l
as
u
p
o
n
ce
r
tain
ti
m
e
p
er
io
d
t
(
L
in
e
-
3
)
.
An
ex
p
licit
f
u
n
ctio
n
f
(
x
)
is
cr
ea
ted
th
at
ta
k
es
t
h
e
i
n
p
u
t
o
f
r
an
d
o
m
v
alu
e
o
f
n
u
m
b
er
o
f
W
SN
i
n
o
r
d
er
to
g
en
er
ate
r
eq
u
est
a
n
d
all
t
h
e
g
e
n
er
ated
r
eq
u
est
ar
e
s
to
r
ed
in
an
ex
p
licit
m
atr
ix
μ
(
x
)
(
L
i
n
e
-
5
)
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
also
co
n
s
tr
u
ct
s
an
e
m
p
t
y
m
atr
i
x
MA
T
th
at
co
n
s
id
er
s
th
e
d
i
m
en
s
io
n
o
f
n
u
m
b
er
o
f
W
SN
an
d
m
a
x
i
m
u
m
v
alu
e
o
f
ti
m
e
.
T
h
e
n
ex
t
p
ar
t
o
f
th
e
s
tu
d
y
is
to
co
m
p
u
te
t
h
e
p
r
o
b
ab
ilit
y
o
f
ea
c
h
s
e
n
s
o
r
f
o
r
a
g
iv
e
n
i
n
s
tan
ce
o
f
ti
m
e
a
n
d
th
e
en
tire
d
y
n
a
m
ic
u
s
er
(
L
in
e
-
8
a
n
d
L
i
n
e
-
9
)
.
T
h
e
s
y
s
t
e
m
t
h
a
n
u
s
e
s
t
h
e
s
a
m
e
f
u
n
cti
o
n
μ
an
d
o
b
tain
s
its
co
u
n
t
c
v
alu
e
t
h
at
is
a
d
ir
ec
t
r
ep
r
esen
tatio
n
o
f
p
r
o
b
ab
ili
t
y
o
f
th
e
e
n
tire
s
er
v
ice
r
eq
u
est (
L
i
n
e
-
1
0
)
.
Fin
al
y
p
r
o
b
ab
ilit
y
is
co
m
p
u
ted
b
y
d
iv
id
in
g
th
e
co
u
n
t
w
it
h
s
u
m
o
f
all
t
h
e
co
u
n
t
(
L
in
e
-
1
2
)
.
A
ll
t
h
e
r
esp
ec
t
i
n
f
o
r
m
a
tio
n
o
f
co
u
n
t
c
is
n
o
w
s
to
r
ed
in
m
atr
i
x
M
A
T
.
T
h
is
a
lg
o
r
i
th
m
o
n
s
u
cc
es
s
f
u
l
i
m
p
le
m
en
ta
tio
n
as
s
is
ts
i
n
an
al
y
zin
g
p
r
o
b
ab
ilit
y
o
f
d
ata
r
eq
u
est
w
it
h
r
esp
ec
t
to
th
e
v
ar
io
u
s
ti
m
e
i
n
s
ta
n
ce
s
o
f
a
d
ay
,
w
h
ich
i
s
n
ea
r
l
y
eq
u
i
v
a
len
t
to
an
y
r
ea
l
ti
m
e
s
e
n
s
o
r
y
o
p
er
atio
n
.
I
t
s
h
o
u
ld
b
e
k
n
o
w
n
t
h
at
b
ased
o
n
th
e
i
n
f
o
r
m
atio
n
o
f
M
A
T
,
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
allo
w
s
t
h
e
s
e
n
s
o
r
to
f
o
r
w
ar
d
o
n
l
y
p
ar
tic
u
la
r
s
et
o
f
i
n
f
o
r
m
atio
n
to
th
e
d
if
f
er
en
t n
et
w
o
r
k
(
p
er
v
asiv
e)
o
n
t
h
e
b
asi
s
o
f
p
r
io
r
it
y
a
n
d
ti
m
e
f
o
r
th
e
d
y
n
a
m
ic
u
s
er
.
T
h
is
in
f
o
r
m
atio
n
i
s
u
s
ed
f
o
r
tak
in
g
a
d
ec
is
io
n
o
f
r
o
u
tin
g
o
n
th
e
b
asi
s
o
f
t
h
e
t
i
m
e
f
ac
to
r
an
d
p
r
io
r
ity
f
ac
to
r
.
Fro
m
a
d
if
f
e
r
e
n
t
v
ie
w
p
o
in
t,
t
h
i
s
alg
o
r
it
h
m
co
u
l
d
b
e
also
s
ee
n
as
a
s
u
b
s
tit
u
te
o
f
s
ch
ed
u
li
n
g
a
n
d
clu
s
ter
i
n
g
a
p
p
r
o
ac
h
as
w
ell
a
s
th
is
alg
o
r
it
h
m
al
s
o
o
f
f
er
s
a
g
o
o
d
ex
ten
s
io
n
to
p
er
f
o
r
m
r
o
u
ti
n
g
f
r
o
m
W
SN
to
d
i
f
f
er
en
t
r
ec
o
n
f
i
g
u
r
ab
le
n
et
w
o
r
k
u
s
i
n
g
a
g
ate
w
a
y
s
er
v
ice
s
.
T
h
e
in
f
o
r
m
atio
n
r
etai
n
ed
w
it
h
i
n
MA
T
is
co
n
s
i
s
te
n
tl
y
u
p
d
ated
as
d
ep
en
d
in
g
o
n
t
h
i
s
u
p
d
ated
in
f
o
r
m
atio
n
,
t
h
e
al
g
o
r
ith
m
ass
is
t
th
e
o
th
er
s
id
e
o
f
t
h
e
n
et
w
o
r
k
(
i.e
.
,
p
er
v
asi
v
e
n
et
w
o
r
k
)
to
s
elec
t
th
e
s
et
o
f
n
o
d
es (
i.e
.
,
N)
o
n
th
e
b
asis
o
f
th
e
ir
r
elativ
e
p
r
io
r
ity
lev
el.
A
lt
h
o
u
g
h
,
t
h
is
alg
o
r
it
h
m
d
o
es
n
o
t
d
ir
ec
tl
y
in
v
o
lv
e
an
y
k
i
n
d
o
f
en
er
g
y
m
o
d
eli
n
g
th
a
t
is
ca
r
r
ied
o
u
t
in
th
e
n
e
x
t
p
ar
t
o
f
th
e
al
g
o
r
ith
m
,
b
u
t
its
co
m
p
lete
o
p
er
atio
n
s
a
v
es
a
s
ig
n
i
f
ica
n
t
a
m
o
u
n
t
o
f
en
e
r
g
y
t
h
at
is
r
eq
u
ir
ed
f
o
r
d
ata
ag
g
r
eg
at
io
n
.
I
t
i
s
al
s
o
s
u
cc
e
s
s
f
u
ll
y
ca
p
ab
le
o
f
p
r
o
ce
s
s
in
g
h
i
g
h
l
y
s
ch
ed
u
led
d
ata
ag
g
r
eg
atio
n
o
n
th
e
b
asis
o
f
d
ata
p
r
io
r
ity
a
n
d
tim
e
th
a
t d
ir
ec
tl
y
i
n
cr
ea
s
es t
h
e
u
tili
za
t
io
n
an
d
r
eliab
ilit
y
le
v
el
o
f
th
e
d
ata.
T
h
e
n
ex
t
alg
o
r
ith
m
is
r
esp
o
n
s
i
b
le
f
o
r
in
v
o
k
i
n
g
a
n
en
er
g
y
ef
f
icien
t
m
o
d
eli
n
g
th
at
in
itiates
b
y
lo
ad
i
n
g
th
e
in
f
o
r
m
atio
n
r
etain
ed
w
ith
th
e
MA
T
(
L
in
e
-
1
)
th
at
y
ield
s
co
m
p
u
ted
en
er
g
y
a
s
an
o
u
t
p
u
t.
T
h
e
s
ig
n
i
f
ica
n
t
i
m
p
le
m
en
ta
tio
n
s
tep
s
o
f
t
h
is
al
g
o
r
ith
m
ar
e
as f
o
llo
w
s
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
N
o
ve
l fra
mewo
r
k
o
f reta
in
in
g
ma
ximu
m
d
a
ta
q
u
a
lity a
n
d
en
erg
y
efficien
cy
in
r
ec
o
n
f
ig
u
r
a
b
le
.
..
(
B
.
P
r
a
th
ib
a
)
2897
Alg
o
rit
h
m
f
o
r
E
nerg
y
E
f
f
ici
ency
I
np
ut
: M
A
T
(
m
atr
i
x
to
r
ep
o
s
it p
r
io
r
ity
i
n
f
o
r
m
atio
n
)
O
utput
: E
(
E
n
er
g
y
)
Sta
rt
1
.
lo
ad
MA
T
2
.
F
o
r
i=1
:s
ize(
x
)
3
.
F
o
r
j
=1
:len
g
th
(
t
x
)
4
.
A
d
j
No
d
es
(n
ix
=
=j
)
5
.
E
nd
6
.
E
nd
7
.
F
o
r
k
=1
:u
8
.
c
(
t
req
(
k
)
)
=[
c(
t
req
(
k
)
)
+1
]
9
.
E
nd
1
0
.
MA
T
1
0
0
*
c/∑c
1
1
.
F
o
r
i=1
:len
g
t
h
(
P
1
)
1
2
.
k
=∑(
E
i)
≥
0
13.
[
v
,
r
i]
s
o
r
t(
E
(
i)
)
1
4
.
F
o
r
j
=1
:len
th
(
tx
)
1
5
.
N
i
(r
i
= = N
ix
)
1
6
.
F
o
r
k
=1
:n
1
1
7
.
E
(
j
,
r
ix
(
k
)
f
(
E
(
j
,
r
ix
(
k
)
)
1
8
.
E
nd
1
9
.
E
nd
2
0
.
E
nd
E
nd
T
h
e
alg
o
r
ith
m
co
n
s
tr
u
ct
s
a
lo
o
p
w
h
er
e
it
r
ea
d
s
all
th
e
v
alu
e
o
f
p
o
s
itio
n
al
in
f
o
r
m
a
tio
n
x
o
f
th
e
n
o
d
es
(
L
in
e
-
2
)
as
w
ell
as
all
in
s
ta
n
ta
n
eo
u
s
ti
m
e
-
b
ased
in
f
o
r
m
at
io
n
t
x
(
L
in
e
-
3
)
.
I
t
th
en
ex
tr
ac
ts
all
th
e
ad
j
ac
en
t
n
o
d
es
u
s
i
n
g
E
u
clid
ea
n
d
is
ta
n
ce
d
ap
p
r
o
ac
h
f
o
ll
o
w
ed
b
y
co
m
p
ar
i
n
g
th
e
d
is
ta
n
ce
w
i
th
r
an
g
e
an
d
ex
tr
ac
t
in
f
o
r
m
atio
n
ab
o
u
t
th
e
ad
j
ac
en
t
s
en
s
o
r
s
(
L
i
n
e
-
4
)
.
T
h
is
s
tep
is
also
f
o
llo
wed
b
y
eli
m
in
a
tio
n
o
f
n
o
d
e
id
en
tit
y
th
a
t
is
f
in
al
l
y
s
to
r
ed
in
a
m
atr
i
x
ca
lled
a
s
A
d
jN
o
d
es
(
L
i
n
e
-
4
)
.
T
h
e
alg
o
r
ith
m
th
a
n
ac
c
e
s
s
i
n
f
o
r
m
ati
o
n
o
f
p
r
io
r
it
y
f
r
o
m
th
e
M
A
T
an
d
r
e
p
er
f
o
r
m
t
h
e
p
r
o
ce
s
s
o
f
g
en
er
atio
n
o
f
th
e
n
e
w
d
e
m
a
n
d
s
f
o
r
cu
r
r
en
t
ti
m
e
p
er
io
d
f
o
llo
w
ed
b
y
co
m
p
u
tatio
n
o
f
p
r
o
b
ab
ilit
y
o
f
s
er
v
ice
r
eq
u
e
s
t
a
n
d
u
p
d
atin
g
t
h
e
M
A
T
m
atr
ix
(
L
i
n
e
-
7
a
n
d
L
i
n
e
-
8
)
.
T
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
al
s
o
i
n
tr
o
d
u
ce
s
lo
g
ic
in
o
r
d
er
to
co
m
p
u
te
t
h
e
d
e
g
r
ee
o
f
d
ata
u
tili
za
tio
n
.
Fo
r
th
i
s
p
u
r
p
o
s
e,
th
e
al
g
o
r
ith
m
co
m
p
u
tes
t
h
e
d
e
m
a
n
d
b
y
co
n
s
id
er
i
n
g
all
th
e
co
u
n
t
c
co
r
r
esp
o
n
d
in
g
to
to
tal
le
n
g
t
h
o
f
co
u
n
t
c
m
atr
ix
.
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t
also
ac
ce
s
s
es
th
e
co
r
r
esp
o
n
d
in
g
r
ea
d
in
g
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o
f
th
e
s
e
n
s
o
r
s
an
d
co
m
p
u
tes
t
h
e
u
t
ilizati
o
n
d
eg
r
ee
b
y
s
u
b
tr
ac
ti
n
g
d
e
m
a
n
d
f
r
o
m
r
ea
d
in
g
v
alu
e.
I
f
t
h
e
v
alu
e
o
f
th
i
s
u
tili
za
tio
n
d
eg
r
ee
is
p
o
s
iti
v
e
th
en
t
h
e
e
m
p
ir
ica
l
v
alu
e
o
f
th
e
u
tili
za
tio
n
f
ac
to
r
is
co
m
p
u
ted
f
r
o
m
d
e
m
a
n
d
f
ac
to
r
its
elf
(
w
h
ic
h
is
n
o
th
i
n
g
b
y
co
r
r
esp
o
n
d
in
g
co
u
n
t
s
)
.
T
h
is
p
r
o
ce
s
s
d
ir
ec
tly
ass
is
t
s
in
co
m
p
u
ti
n
g
th
e
r
elia
b
ilit
y
o
f
t
h
e
d
ata.
T
h
e
n
ex
t
s
t
ep
is
to
co
n
s
tr
u
ct
a
m
atr
i
x
k
w
h
ic
h
co
n
s
id
er
s
n
o
d
es
w
it
h
s
u
f
f
icien
t
r
esid
u
al
en
er
g
y
(
L
i
n
e
-
1
2
)
.
I
t
is
f
u
r
t
h
er
f
o
llo
w
ed
u
p
b
y
s
ea
r
ch
i
n
g
to
tal
n
u
m
b
er
o
f
ali
v
e
n
o
d
es
f
o
llo
w
ed
b
y
r
an
k
i
n
g
th
e
s
en
s
o
r
s
o
n
t
h
e
b
asis
o
f
th
eir
r
esid
u
al
en
er
g
y
(
L
in
e
-
1
3
to
L
i
n
e
-
1
6
)
.
T
h
is
p
r
o
ce
s
s
also
ass
i
s
ts
i
n
o
b
tai
n
in
g
p
er
ce
n
t
ile
i
n
f
o
r
m
atio
n
o
f
t
h
e
M
A
T
m
atr
ix
f
o
llo
w
ed
b
y
e
x
tr
ac
ti
n
g
to
tal
n
u
m
b
er
o
f
co
m
m
u
n
icati
n
g
s
en
s
o
r
s
.
T
h
e
alg
o
r
ith
m
co
n
s
tr
u
c
ts
a
m
atr
ix
r
ix
in
o
r
d
er
to
a
p
p
ly
r
an
d
o
m
p
er
m
u
tatio
n
o
f
th
e
m
atr
i
x
o
f
v
al
u
e
eq
u
iv
ale
n
t to
le
n
g
t
h
o
f
t
x
.
Fo
r
all
th
e
co
m
m
u
n
icat
in
g
n
o
d
es (
n
1
i
s
i
n
p
er
ce
n
tile)
,
t
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
ap
p
lies
a
f
u
n
ctio
n
f
(
x
)
t
h
at
p
er
f
o
r
m
s
r
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d
u
ctio
n
o
f
e
n
er
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y
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h
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co
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p
l
ete
p
r
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ce
s
s
o
f
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m
p
le
m
e
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elate
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r
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ata
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ic
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h
e
p
r
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p
o
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ed
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s
te
m
al
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s
u
r
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t
h
at
t
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w
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s
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m
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f
th
e
p
r
o
p
o
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ed
s
y
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te
m
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
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2901
2898
3.
RE
SU
L
T
ANAL
YSI
S
T
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L
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[
3
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an
d
PE
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f
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e
n
c
e
o
n
,
p
p
.
1
0
4
-
107
,
2013
.
[5
]
A
u
d
it
o
r
C
.
,
“
G
u
i
d
a
n
c
e
o
n
T
e
st
i
n
g
Da
ta
Re
l
ia
b
i
li
ty
,
”
A
v
a
il
a
b
le
:
h
t
t
p
:/
/w
ww
.
a
u
d
it
o
rr
o
les
.
o
rg
/f
i
les
/
t
o
o
lk
it
/r
o
le
2
/T
o
o
l
2
a
A
u
s
ti
n
Ci
ty
A
u
d
_
G
u
id
a
n
c
e
T
e
st
i
n
g
Re
li
a
b
i
li
ty
.
p
d
f
[6
]
W
e
n
H
.
,
e
t
a
l
.
,
“
Re
tr
a
n
sm
issi
o
n
o
r
re
d
u
n
d
a
n
c
y
:
T
ra
n
sm
issi
o
n
r
e
l
ia
b
i
l
it
y
st
u
d
y
in
w
ire
les
s
se
n
s
o
r
n
e
t
w
o
rk
s
,”
S
c
ie
n
c
e
Ch
i
n
a
i
n
f
o
rm
a
t
i
o
n
sc
ie
n
c
e
s
,
v
o
l/
is
su
e
:
5
5
(
4
)
,
p
p
.
7
3
7
-
46
,
2012
.
[7
]
M
.
A
.
M
a
h
m
o
o
d
,
e
t
a
l
.
,
“
Re
li
a
b
i
l
it
y
i
n
w
ire
les
s
se
n
s
o
r
n
e
tw
o
r
k
s:
A
s
u
rv
e
y
a
n
d
c
h
a
l
le
n
g
e
s
a
h
e
a
d
,”
C
o
m
p
u
ter
Ne
tw
o
rk
s
,
v
o
l.
79
,
p
p
.
166
-
187
,
2015
.
[8
]
S.
Kr
i
t,
e
t
a
l
.
,
“
Re
l
ia
b
il
it
y
o
f
t
ra
n
s
p
o
r
t
d
a
ta
a
n
d
e
n
e
rg
y
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f
f
ici
e
n
t
in
W
i
re
le
ss
S
e
n
s
o
r
Ne
tw
o
r
k
s:
A
l
it
e
ra
t
u
re
su
rv
e
y
,”
E
n
g
i
n
e
e
r
i
n
g
&
M
IS
(
IC
E
M
IS
),
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
o
n
.
IE
EE
,
2
0
1
6
.
[9
]
Do
n
g
M
.
,
e
t
a
l
.
,
“
RM
ER
:
Re
l
ia
b
le
a
n
d
e
n
e
rg
y
-
e
f
f
icie
n
t
d
a
ta
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o
l
le
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ti
o
n
f
o
r
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rg
e
-
s
c
a
le
w
i
re
le
ss
se
n
so
r
n
e
tw
o
rk
s
,”
IE
EE
I
n
ter
n
e
t
o
f
T
h
i
n
g
s
J
o
u
r
n
a
l
,
v
o
l
/
iss
u
e
:
3
(
4
)
,
p
p
.
511
-
9
,
2016
.
[1
0
]
V
e
n
k
a
tes
a
n
L
.
,
e
t
a
l
.
,
“
A
su
rv
e
y
o
n
m
o
d
e
li
n
g
a
n
d
e
n
h
a
n
c
i
n
g
re
l
ia
b
i
l
it
y
o
f
w
ire
les
s
se
n
s
o
r
n
e
tw
o
rk
,”
W
ire
l
e
ss
S
e
n
s
o
r
Ne
tw
o
rk
,
v
o
l
/
iss
u
e
:
5
(
0
3
)
,
p
p
.
41
,
2013
.
[1
1
]
M
.
I
.
A
l
i
p
i
o
a
n
d
N
.
M
.
C
.
T
ig
la
o
,
“
RT
-
C
a
CC
:
A
Re
l
ia
b
l
e
T
ra
n
s
p
o
r
t
w
it
h
Ca
c
h
e
-
A
w
a
re
C
o
n
g
e
s
ti
o
n
Co
n
tr
o
l
P
r
o
t
o
c
o
l
in
W
ire
les
s
S
e
n
s
o
r
Ne
tw
o
rk
s
,
”
I
EE
E
T
r
a
n
s
a
c
ti
o
n
s
o
n
W
ire
les
s
C
o
mm
u
n
ic
a
t
i
o
ns
,
v
o
l
/i
ss
u
e
:
17
(
7
)
,
p
p
.
4
6
0
7
-
4
6
1
9
,
2
0
1
8
.
[1
2
]
H.
A
ls
h
a
h
e
e
n
a
n
d
H.
T
.
Ri
z
k
,
“
E
n
e
rg
y
S
a
v
i
n
g
a
n
d
Re
l
ia
b
i
li
ty
f
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r
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irele
ss
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o
d
y
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e
n
s
o
r
Ne
tw
o
rk
s
(
W
BS
N)
,
”
I
E
EE
Acc
e
ss
,
v
o
l
.
6
,
p
p
.
1
6
6
7
8
-
1
6
6
9
5
,
2
0
1
8
.
[1
3
]
Y.
D
u
a
n
,
e
t
a
l
.
,
“
A
m
e
th
o
d
o
l
o
g
y
f
o
r
re
li
a
b
il
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y
o
f
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S
N
b
a
se
d
o
n
so
f
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a
re
d
e
f
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n
e
d
n
e
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rk
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n
a
d
a
p
t
iv
e
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n
d
u
s
tr
ia
l
e
n
v
ir
o
n
m
e
n
t
,
”
I
E
EE
/C
AA
J
o
u
r
n
a
l
o
f
A
u
t
o
m
a
ti
c
a
S
i
n
ic
a
,
v
o
l
/
iss
u
e
:
5
(
1
)
,
p
p
.
7
4
-
8
2
,
2
0
1
8
.
[1
4
]
A
.
S
.
E
lsa
f
ra
w
e
y
,
e
t
a
l
.
,
“
C
o
o
p
e
ra
t
iv
e
h
y
b
r
i
d
se
lf
-
h
e
a
l
i
n
g
sc
h
e
m
e
f
o
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se
c
u
re
a
n
d
d
a
ta
r
e
l
ia
b
i
l
it
y
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u
n
a
t
t
e
n
d
e
d
w
irele
s
s
s
e
n
s
o
r
n
e
tw
o
rk
s
,
”
I
ET
I
n
f
o
rm
a
ti
o
n
S
e
c
u
r
it
y
,
v
o
l
/i
ss
u
e
:
9
(
4
)
,
p
p
.
2
2
3
-
2
3
3
,
2
0
1
5
.
[1
5
]
Z.
He
a
n
d
W
.
Jia
n
g
,
“
Q
u
a
n
t
u
m
M
e
c
h
a
n
ica
l
A
p
p
r
o
a
c
h
t
o
M
o
d
e
l
i
n
g
Re
l
ia
b
i
li
ty
o
f
S
e
n
s
o
r
Re
p
o
rts
,
”
I
EE
E
S
e
n
s
o
r
s
L
e
t
ter
s
,
v
o
l
/i
ss
u
e
:
1
(
4
)
,
p
p
.
1
-
4
,
2
0
1
7
.
[1
6
]
X.
Ji
n
,
e
t
a
l
.
,
“
Re
li
a
b
il
it
y
a
n
d
T
e
m
p
o
ra
li
ty
Op
t
im
iza
t
i
o
n
f
o
r
M
u
l
t
i
p
le
C
o
e
x
is
ti
n
g
W
ire
les
s
HA
RT
Ne
tw
o
rk
s
i
n
In
d
u
s
tr
ia
l
E
n
v
i
r
o
n
m
e
n
t
s,
”
I
E
EE
T
ra
n
s
a
c
ti
o
n
s
o
n
I
n
d
u
s
tri
a
l
E
lec
tr
o
n
ics
,
v
o
l
/
iss
u
e
:
64
(
8
)
,
p
p
.
6
5
9
1
-
6
6
0
2
,
2
0
1
7
.
[1
7
]
M
.
Ka
m
e
z
a
k
i
,
e
t
a
l
.
,
“
C
o
n
d
it
i
o
n
-
Ba
se
d
L
e
ss
-
Er
ro
r
Da
ta
S
e
lec
ti
o
n
f
o
r
R
o
b
u
st
a
n
d
A
c
c
u
ra
te
M
a
ss
M
e
a
s
u
re
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e
n
t
i
n
L
a
rg
e
-
S
c
a
le
Hy
d
r
a
u
l
ic
M
a
n
i
p
u
la
t
o
r
s,
”
I
E
EE
T
r
a
n
s
a
c
t
i
o
n
s
o
n
In
str
u
me
n
t
a
t
i
o
n
a
n
d
M
e
a
s
u
re
m
e
n
t
,
v
o
l
/
i
ss
u
e
:
66
(
7
)
,
p
p
.
1820
-
1
8
3
0
,
2
0
1
7
.
[1
8
]
L
.
L
e
i,
e
t
a
l
.
,
“
O
p
t
im
a
l
Re
li
a
b
il
it
y
in
E
n
e
rg
y
Ha
rv
e
s
ti
n
g
I
n
d
u
s
tr
ial
W
irel
e
ss
S
e
n
so
r
Ne
tw
o
rk
s
,
”
I
E
E
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
W
ire
les
s
Co
mm
u
n
i
c
a
t
i
o
n
s
,
v
o
l
/
iss
u
e
:
15
(
8
)
,
p
p
.
5
3
9
9
-
5
4
1
3
,
2016.
[1
9
]
L
.
L
iu
,
e
t
a
l
.
,
“
A
n
S
NR
-
A
ss
u
re
d
A
n
ti
-
Ja
m
m
in
g
R
o
u
ti
n
g
P
r
o
t
o
c
o
l
f
o
r
Re
li
a
b
le
C
o
m
m
u
n
ica
ti
o
n
i
n
I
n
d
u
s
tr
ial
W
ire
les
s
S
e
n
s
o
r
Ne
tw
o
rk
s,
”
IE
EE
C
o
mm
u
n
i
c
a
t
i
o
n
s
M
a
g
a
z
i
n
e
,
v
o
l
/
iss
u
e
:
56
(
2
)
,
p
p
.
2
3
-
2
9
,
2018.
[2
0
]
J.
L
o
n
g
,
e
t
a
l
.
,
“
Re
li
a
b
il
i
ty
g
u
a
ra
n
tee
d
e
f
f
ici
e
n
t
d
a
ta
g
a
t
h
e
ri
n
g
i
n
w
irele
s
s
s
e
n
s
o
r
n
e
tw
o
rk
s,
”
IE
E
E
Ac
c
e
ss
,
v
o
l
.
3
,
p
p
.
430
-
4
4
4
,
2
0
1
5
.
[2
1
]
H.
L
u
o
,
e
t
a
l
.
,
“
Da
t
a
F
u
si
o
n
w
i
th
De
si
re
d
Re
li
a
b
i
li
ty
in
W
ire
les
s
S
e
n
s
o
r
N
e
tw
o
rk
s
,
”
I
E
EE
T
r
a
n
s
a
c
t
i
o
n
s
o
n
P
a
r
a
l
le
l
a
n
d
Dis
tr
i
b
u
te
d
S
y
s
tem
s
,
v
o
l
/i
ss
u
e
:
22
(
3
)
,
p
p
.
5
0
1
-
5
1
3
,
2
0
1
1
.
[2
2
]
C.
P
ie
ll
i,
e
t
a
l
.
,
“
J
o
i
n
t
C
o
m
p
r
e
ss
i
o
n
,
C
h
a
n
n
e
l
C
o
d
i
n
g
,
a
n
d
Re
t
ra
n
sm
issi
o
n
f
o
r
Da
ta
F
i
d
e
li
t
y
w
it
h
E
n
e
rg
y
Ha
rv
e
s
ti
n
g
,
”
I
EE
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
C
o
mm
u
n
ic
a
t
i
o
n
s
,
v
o
l
/
iss
u
e
:
66
(
4
)
,
p
p
.
1
4
2
5
-
1
4
3
9
,
2
0
1
8
.
[2
3
]
W
.
S
u
n
,
e
t
a
l
.
,
“
E
n
d
-
to
-
E
n
d
Da
t
a
De
li
v
e
ry
Re
li
a
b
il
it
y
M
o
d
e
l
f
o
r
Est
im
a
ti
n
g
a
n
d
O
p
ti
m
iz
i
n
g
t
h
e
L
in
k
Q
u
a
li
ty
o
f
In
d
u
s
tr
ia
l
W
S
Ns
,
”
IE
EE
T
r
a
n
s
a
c
ti
o
n
s
o
n
A
u
t
o
m
a
ti
o
n
S
c
ie
n
c
e
a
n
d
E
n
g
i
n
e
e
r
i
n
g
,
v
o
l
/
iss
u
e
:
15
(
3
)
,
p
p
.
1
1
2
7
-
1137,
2
0
1
8
.
[2
4
]
H.
T
e
n
g
,
e
t
a
l
.
,
“
A
d
a
p
t
iv
e
t
ra
n
sm
issi
o
n
p
o
w
e
r
c
o
n
tr
o
l
f
o
r
re
l
ia
b
le
d
a
ta
f
o
rw
a
r
d
i
n
g
i
n
se
n
s
o
r
b
a
se
d
n
e
tw
o
rk
s
,
”
W
i
re
le
ss
C
o
mm
u
n
ic
a
t
i
o
n
s
a
n
d
M
o
b
i
le
C
o
m
p
u
ti
n
g
,
p
p
.
2
2
,
2
0
1
8
.
[2
5
]
S
.
W
a
n
g
,
e
t
a
l
.
,
“
A
n
a
ly
ti
c
a
l
F
RT
U
d
e
p
l
o
y
m
e
n
t
a
p
p
r
o
a
c
h
f
o
r
re
l
ia
b
i
l
it
y
im
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3
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B.
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6
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.
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7
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