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An appro
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(W
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s
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s,
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m
o
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it
o
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in
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d
a
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a
n
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u
se
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ia
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tern
e
t
c
o
m
m
u
n
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Re
so
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e
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a
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it
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WS
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is
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in
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n
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in
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d
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ta
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e
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v
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p
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o
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m
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e
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On
e
o
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e
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a
in
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h
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ll
e
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s
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e
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id
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letio
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o
f
re
so
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s,
p
a
rt
icu
larly
b
a
tt
e
ries
,
w
h
ich
p
lay
a
p
i
v
o
tal
r
o
le
in
t
h
e
sy
ste
m
’s
o
p
e
ra
ti
o
n
a
l
s
u
sta
in
a
b
il
it
y
.
Th
is
stu
d
y
e
v
a
lu
a
tes
t
h
e
imp
a
c
t
o
f
b
a
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ry
a
d
a
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tatio
n
t
h
ro
u
g
h
f
o
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tes
ti
n
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n
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rio
s.
Th
e
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su
l
ts
sh
o
w
t
h
a
t
imp
lem
e
n
ti
n
g
b
a
tt
e
ry
a
d
a
p
tatio
n
sig
n
ifi
c
a
n
tl
y
e
x
ten
d
s
sy
ste
m
li
fe
sp
a
n
c
o
m
p
a
re
d
t
o
sc
e
n
a
rio
s
wit
h
o
u
t
a
d
a
p
tatio
n
.
In
th
e
sc
e
n
a
rio
with
o
u
t
b
o
th
a
c
las
sifica
ti
o
n
a
lg
o
rit
h
m
a
n
d
a
d
a
p
tatio
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t
h
e
sy
ste
m
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ts
a
p
p
ro
x
ima
tely
2
7
0
m
in
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tes
.
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h
e
n
b
a
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d
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is
a
p
p
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d
with
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sifica
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o
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a
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in
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3
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o
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n
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t,
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c
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sifica
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t
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p
tati
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d
s
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li
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sp
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f
a
b
o
u
t
1
8
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in
u
tes
,
wh
il
e
c
o
m
b
i
n
in
g
t
h
e
c
las
sifica
ti
o
n
a
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rit
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with
a
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d
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o
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p
p
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o
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tely
2
5
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m
in
u
tes
.
Th
e
fin
d
i
n
g
s
d
e
m
o
n
stra
te
th
a
t
b
a
tt
e
r
y
a
d
a
p
tat
io
n
e
n
h
a
n
c
e
s
th
e
lo
n
g
e
v
i
ty
a
n
d
re
so
u
rc
e
e
fficie
n
c
y
o
f
W
S
N
s
y
ste
m
s.
Ho
we
v
e
r,
th
e
u
se
o
f
a
c
las
sifica
ti
o
n
a
lg
o
rit
h
m
ten
d
s
to
re
d
u
c
e
o
p
e
ra
ti
o
n
a
l
ti
m
e
c
o
m
p
a
re
d
to
sc
e
n
a
rio
s
th
a
t
d
o
n
o
t
e
m
p
lo
y
su
c
h
a
lg
o
rit
h
m
s.
K
ey
w
o
r
d
s
:
Ad
ap
tatio
n
B
atter
y
C
las
s
if
icatio
n
alg
o
r
ith
m
Dee
p
s
leep
W
SN
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
J
u
m
ad
i M
ab
e
Par
en
r
e
n
g
Dep
ar
tm
en
t o
f
I
n
f
o
r
m
atics a
n
d
C
o
m
p
u
ter
E
n
g
in
ee
r
in
g
,
Fac
u
lty
o
f
E
n
g
in
ee
r
i
n
g
State
Un
iv
er
s
ity
o
f
Ma
k
ass
ar
A.
P.
Pettar
an
i
St
.
,
T
id
u
n
g
,
R
ap
p
o
cin
i,
Ma
k
ass
ar
,
So
u
th
Su
la
wesi
,
I
n
d
o
n
esia
E
m
ail:
jp
ar
en
r
en
g
@
u
n
m
.
ac
.
id
1.
I
NT
RO
D
UCT
I
O
N
T
h
e
ev
o
l
u
tio
n
o
f
tech
n
o
lo
g
y
is
in
cr
ea
s
in
g
ly
o
r
ien
ted
t
o
war
d
th
e
c
o
n
n
ec
tiv
ity
o
f
th
e
p
h
y
s
ical
en
v
ir
o
n
m
en
t,
m
ak
i
n
g
m
o
d
er
n
tech
n
o
lo
g
ical
s
y
s
tem
s
h
ig
h
ly
ess
en
tial
in
v
ar
io
u
s
d
o
m
ain
s
[
1
]
.
Ho
wev
er
,
d
ir
ec
t
d
ata
co
llectio
n
in
th
e
f
ield
p
o
s
es
s
ig
n
if
ican
t
ch
allen
g
es,
in
cl
u
d
in
g
h
ig
h
o
p
er
atio
n
al
co
s
ts
a
n
d
tim
e
co
n
s
u
m
in
g
p
r
o
ce
s
s
es
f
o
r
d
etec
tin
g
e
m
er
g
in
g
p
h
e
n
o
m
e
n
a,
wh
ic
h
ca
n
lea
d
to
in
ef
f
icie
n
cies
an
d
im
p
r
ac
tical
im
p
lem
en
tatio
n
s
[
2
]
.
T
o
ad
d
r
ess
th
ese
ch
allen
g
es,
th
e
u
s
e
o
f
wir
eless
s
en
s
o
r
n
etwo
r
k
(
W
SN)
tech
n
o
lo
g
y
b
ec
o
m
es
im
p
er
ativ
e.
W
SN
en
ab
les
r
esear
ch
er
s
to
o
b
tain
c
o
m
p
r
eh
e
n
s
iv
e
in
f
o
r
m
atio
n
r
e
m
o
tely
,
with
o
u
t
t
h
e
n
ee
d
f
o
r
p
h
y
s
ical
p
r
esen
ce
in
t
h
e
s
en
s
o
r
d
ep
l
o
y
m
en
t a
r
ea
[
3
]
.
W
SN
tech
n
o
lo
g
y
f
ac
ilit
ates
co
n
tin
u
o
u
s
m
o
n
ito
r
in
g
,
tr
a
ck
in
g
,
a
n
d
c
o
n
tr
o
l,
f
o
r
m
in
g
a
cr
itical
f
o
u
n
d
atio
n
f
o
r
d
ata
ac
q
u
is
itio
n
th
at
s
u
p
p
o
r
ts
in
f
o
r
m
e
d
d
e
cisi
o
n
m
ak
in
g
an
d
ac
tio
n
[
4
]
.
Mo
r
eo
v
er
,
W
SN
s
y
s
tem
s
ca
n
b
e
d
ep
lo
y
e
d
in
in
ac
ce
s
s
ib
le
o
r
h
az
ar
d
o
u
s
e
n
v
ir
o
n
m
en
ts
,
s
u
ch
as
m
o
n
ito
r
in
g
tecto
n
ic
p
late
m
o
v
em
en
ts
d
ee
p
u
n
d
er
g
r
o
u
n
d
,
v
o
lcan
ic
ac
tiv
ity
in
m
o
u
n
tain
o
u
s
r
e
g
io
n
s
,
an
d
r
ad
iati
o
n
lev
els
i
n
ar
ea
s
af
f
ec
ted
b
y
n
u
clea
r
in
cid
en
ts
[
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
A
n
a
p
p
r
o
a
ch
o
f b
a
tter
y
a
d
a
p
t
a
tio
n
in
w
ir
eless
s
en
s
o
r
n
et
w
o
r
k
w
ith
r
e
s
o
u
r
ce
…
(
Ju
ma
d
i
Ma
b
e
P
a
r
en
r
en
g
)
1813
I
n
W
SN
s
y
s
tem
s
,
p
o
wer
co
n
s
u
m
p
tio
n
r
ep
r
esen
ts
a
m
aj
o
r
c
h
allen
g
e
d
u
e
to
t
h
e
lim
ited
c
ap
ac
ity
o
f
o
n
b
o
a
r
d
b
atter
ies
[
6
]
.
I
n
th
e
co
n
tex
t
o
f
p
o
wer
elec
tr
o
n
ics
an
d
d
r
i
v
e
s
y
s
tem
s
,
th
is
ap
p
r
o
ac
h
ca
n
b
e
f
u
r
th
e
r
en
h
an
ce
d
th
r
o
u
g
h
th
e
ap
p
licat
io
n
o
f
ad
a
p
tiv
e
c
h
ar
g
in
g
alg
o
r
ith
m
s
,
wh
ich
c
o
n
s
id
er
e
n
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
an
d
th
e
p
o
wer
u
s
ag
e
p
atter
n
s
o
f
i
n
d
iv
id
u
al
n
o
d
es
[
7
]
.
I
m
p
lem
en
tatio
n
o
f
r
eso
u
r
ce
aw
ar
e
an
d
d
ee
p
s
leep
ad
ap
tatio
n
p
r
o
p
o
s
ed
in
th
is
s
tu
d
y
o
f
f
er
s
a
n
en
e
r
g
y
ef
f
icien
t
s
o
lu
tio
n
f
o
r
W
SN
ap
p
licatio
n
s
,
p
ar
ticu
lar
l
y
i
n
ex
tr
em
e
en
v
i
r
o
n
m
e
n
tal
m
o
n
it
o
r
in
g
s
ce
n
ar
i
o
s
[
8
]
.
R
eso
u
r
ce
a
v
ai
la
b
il
it
y
is
a
k
ey
co
n
s
i
d
e
r
a
ti
o
n
i
n
W
SNs
,
as
t
h
e
p
er
f
o
r
m
a
n
c
e
o
f
d
at
a
t
r
an
s
m
is
s
io
n
r
el
ies
h
e
av
il
y
o
n
t
h
e
s
u
f
f
ici
e
n
c
y
o
f
a
v
ai
la
b
l
e
b
att
er
y
e
n
er
g
y
[
9
]
.
T
h
e
d
y
n
a
m
ic
n
a
tu
r
e
o
f
r
es
o
u
r
c
e
a
v
ai
la
b
il
it
y
p
r
es
e
n
ts
a
c
h
al
le
n
g
e
t
o
s
y
s
te
m
s
u
s
tai
n
a
b
il
it
y
,
w
it
h
t
h
e
c
o
n
ti
n
u
it
y
o
f
W
SN o
p
e
r
at
io
n
s
d
e
p
e
n
d
i
n
g
d
i
r
e
ctl
y
o
n
t
h
e
p
r
es
e
n
ce
o
f
ad
e
q
u
ate
p
o
we
r
.
H
o
we
v
e
r
,
t
h
es
e
b
att
er
i
es
t
y
p
ic
all
y
h
av
e
l
im
ite
d
e
n
e
r
g
y
ca
p
a
cit
ies
[
1
0
]
.
C
o
n
s
e
q
u
e
n
tl
y
,
r
est
r
i
cte
d
b
att
er
y
r
es
o
u
r
c
es
ca
n
lea
d
t
o
s
u
b
o
p
tim
al
p
er
f
o
r
m
an
ce
i
n
d
a
ta
t
r
a
n
s
m
is
s
i
o
n
.
T
h
is
r
ese
ar
c
h
aim
s
t
o
in
v
est
ig
at
e
s
o
l
u
ti
o
n
s
f
o
r
ad
d
r
ess
in
g
t
h
e
li
m
it
ati
o
n
s
p
o
s
e
d
b
y
b
a
tte
r
y
r
es
o
u
r
ce
s
i
n
W
SN
s
.
I
t
is
e
x
p
ec
te
d
to
co
n
t
r
i
b
u
te
t
o
s
tr
ate
g
ies
f
o
r
co
n
s
er
v
i
n
g
en
er
g
y
a
n
d
e
x
t
e
n
d
in
g
t
h
e
o
p
er
ati
o
n
al
l
if
esp
a
n
o
f
W
S
N
s
y
s
te
m
s
.
2.
L
I
T
E
R
AT
U
RE
R
E
VI
E
W
W
SN
tech
n
o
lo
g
y
is
h
ig
h
ly
ap
p
licab
le
ac
r
o
s
s
v
ar
io
u
s
d
o
m
ain
s
s
u
ch
as
en
v
ir
o
n
m
en
tal
m
o
n
ito
r
in
g
,
h
ea
lth
ca
r
e,
a
n
d
in
d
u
s
tr
ial
s
y
s
tem
s
,
wh
er
e
r
ea
l
tim
e
d
ata
s
u
p
er
v
is
io
n
is
ess
en
tial
[
1
1
]
.
Ho
we
v
er
,
k
ey
ch
allen
g
es
in
im
p
lem
en
tin
g
W
SN
s
in
clu
d
e
en
s
u
r
in
g
en
e
r
g
y
ef
f
icien
cy
an
d
o
p
tim
izin
g
d
ata
p
r
o
ce
s
s
in
g
[1
2
]
.
T
o
ad
d
r
ess
th
ese
is
s
u
e
s
,
tec
h
n
iq
u
es
s
u
ch
as
d
ata
m
in
in
g
an
d
class
if
icatio
n
alg
o
r
ith
m
s
ar
e
em
p
lo
y
ed
to
en
h
an
ce
th
e
ef
f
icien
cy
o
f
p
r
o
c
ess
in
g
d
ata
g
en
er
ated
b
y
s
en
s
o
r
n
o
d
es [
1
3
]
.
Data
m
in
in
g
aim
s
to
ex
tr
ac
t
m
ea
n
in
g
f
u
l
in
f
o
r
m
atio
n
f
r
o
m
lar
g
e
d
atasets
,
with
class
if
icat
io
n
s
er
v
in
g
as
a
k
ey
tech
n
iq
u
e
to
ca
teg
o
r
ize
d
ata
b
ased
o
n
s
p
ec
if
ic
attr
ib
u
tes
[1
4
]
.
I
n
th
e
co
n
tex
t
o
f
e
n
er
g
y
ef
f
icien
cy
in
W
SN
s
,
th
e
d
ee
p
s
leep
m
o
d
e
in
E
SP
3
2
m
icr
o
c
o
n
tr
o
ller
s
is
em
p
lo
y
ed
to
s
ig
n
if
ican
tly
r
ed
u
ce
p
o
wer
co
n
s
u
m
p
tio
n
[
1
5
]
.
T
h
e
in
teg
r
atio
n
o
f
d
ee
p
s
leep
a
n
d
class
if
icatio
n
alg
o
r
ith
m
s
in
W
SNs
en
h
an
ce
s
d
ata
p
r
o
ce
s
s
in
g
ef
f
icien
c
y
,
e
n
ab
lin
g
ap
p
licatio
n
s
s
u
c
h
as
en
v
ir
o
n
m
en
tal
p
r
e
d
ictio
n
a
n
d
a
n
o
m
aly
d
etec
tio
n
[
1
6
]
.
T
h
is
co
m
b
in
atio
n
o
f
in
tellig
e
n
t
d
ata
p
r
o
ce
s
s
in
g
an
d
p
o
wer
s
av
in
g
s
tr
ateg
ies
p
lay
s
a
v
ital
r
o
le
in
ex
ten
d
i
n
g
o
p
er
atio
n
al
life
s
p
an
an
d
i
m
p
r
o
v
in
g
th
e
r
eliab
ilit
y
o
f
W
SN sy
s
tem
s
[
1
7
]
.
I
n
co
n
clu
s
io
n
,
W
SN
is
a
p
r
o
m
is
in
g
tech
n
o
lo
g
y
f
o
r
r
ea
l
ti
m
e
d
ata
m
o
n
ito
r
in
g
an
d
p
r
o
c
ess
in
g
[1
8
]
.
T
h
e
ap
p
licatio
n
o
f
d
ata
m
i
n
in
g
tech
n
i
q
u
es
an
d
class
if
icatio
n
alg
o
r
ith
m
s
en
h
an
ce
s
th
e
ef
f
icien
cy
o
f
h
a
n
d
lin
g
s
en
s
o
r
g
en
e
r
ated
d
ata
[
19
]
.
At
th
e
s
am
e
tim
e,
p
o
wer
ef
f
icie
n
cy
a
d
d
r
ess
ed
t
h
r
o
u
g
h
m
ec
h
a
n
is
m
s
s
u
ch
as
d
ee
p
s
leep
m
o
d
e
in
E
SP
3
2
m
icr
o
c
o
n
tr
o
ller
s
is
ess
en
tial
f
o
r
th
e
lo
n
g
ter
m
s
u
s
tain
ab
ilit
y
o
f
W
SN
s
y
s
tem
s
[
2
0
]
.
T
h
u
s
,
in
teg
r
atin
g
i
n
tellig
en
t
d
ata
p
r
o
ce
s
s
in
g
with
en
er
g
y
o
p
t
im
izatio
n
en
ab
les
W
SNs
to
s
e
r
v
e
as
ef
f
icien
t
an
d
d
ep
en
d
a
b
le
s
o
lu
tio
n
s
ac
r
o
s
s
m
u
ltip
le
ap
p
licatio
n
ar
ea
s
[
2
1
]
.
3.
M
E
T
H
O
D
T
h
is
s
tu
d
y
is
s
u
p
p
o
r
ted
b
y
a
co
m
p
r
eh
e
n
s
iv
e
s
et
o
f
h
ar
d
war
e
an
d
s
o
f
twar
e
co
m
p
o
n
en
ts
th
at
f
u
n
ctio
n
s
y
n
er
g
is
tically
to
g
en
er
ate
ac
cu
r
ate
d
ata
an
d
e
n
ab
le
th
o
r
o
u
g
h
an
aly
s
is
.
A
d
etailed
o
v
er
v
iew
o
f
th
e
s
p
ec
if
ic
h
ar
d
war
e
an
d
s
o
f
twar
e
co
m
p
o
n
en
ts
em
p
lo
y
ed
in
th
is
s
tu
d
y
is
p
r
esen
ted
in
T
ab
le
1
.
T
ab
le
1
p
r
esen
ts
th
e
k
ey
co
m
p
o
n
en
ts
u
s
ed
in
th
is
s
tu
d
y
,
ea
ch
p
lay
in
g
an
ess
en
tial
r
o
le
in
s
u
p
p
o
r
tin
g
d
ata
ac
q
u
i
s
itio
n
an
d
s
to
r
ag
e
p
r
o
ce
s
s
es.
T
h
e
m
icr
o
co
n
tr
o
ll
er
u
tili
ze
d
is
th
e
E
SP
3
2
Dev
k
itV1
,
k
n
o
wn
f
o
r
its
h
ig
h
p
er
f
o
r
m
an
ce
a
n
d
in
teg
r
ated
wir
eless
co
m
m
u
n
ic
atio
n
ca
p
a
b
ilit
ies.
T
h
is
s
tu
d
y
also
em
p
lo
y
s
t
h
e
I
NA2
1
9
s
en
s
o
r
,
wh
ich
en
ab
les
r
ea
l
tim
e
m
o
n
ito
r
in
g
o
f
v
o
ltag
e
an
d
cu
r
r
e
n
t
in
th
e
b
atter
y
.
An
ex
ter
n
al
m
em
o
r
y
ca
r
d
is
u
s
ed
as
a
s
to
r
ag
e
m
ed
iu
m
,
f
ac
ilit
atin
g
f
u
r
t
h
er
a
n
aly
s
is
o
f
th
e
c
o
llected
d
ata.
T
h
e
p
r
im
a
r
y
p
o
wer
s
o
u
r
ce
is
a
lith
iu
m
b
atter
y
,
wh
ich
is
cr
itical
f
o
r
m
ain
ta
in
in
g
s
y
s
tem
s
u
s
tain
ab
ilit
y
,
esp
ec
ially
in
s
ce
n
ar
io
s
w
h
er
e
ef
f
icien
t
p
o
wer
co
n
s
u
m
p
tio
n
is
r
eq
u
ir
e
d
[
2
2
]
.
T
ab
le
1
.
Dev
ice
c
o
m
p
o
n
en
ts
f
o
r
r
esear
ch
C
o
m
p
o
n
e
n
t
s
S
p
e
c
i
f
i
c
a
t
i
o
n
ESP
3
2
D
e
v
k
i
t
V
1
X
t
e
n
s
a
d
u
a
l
c
o
r
e
LX
6
–
1
6
0
M
H
z
,
3
2
b
i
t
,
1
6
M
B
,
B
l
u
e
t
o
o
t
h
,
W
i
f
i
,
G
I
O
P
i
n
(
A
D
C
/
D
A
C
)
,
3
.
3
v
o
l
t
LED
0
.
5
W
/
p
c
s
S
e
n
s
o
r
I
N
A
2
1
9
I
2
C
or
S
M
B
u
s (
s
e
r
i
a
l
m
a
n
a
g
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me
n
t
b
u
s
)
,
±
3
.
2
A
M
o
d
u
l
e
m
i
c
r
o
SD
3
.
3
V
,
6
p
i
n
s
(
G
N
D
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V
C
C
,
M
I
S
O
,
M
O
S
I
,
S
C
K
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C
S
)
M
e
m
o
r
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c
a
r
d
1
6
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B
2
L
i
t
h
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u
m
b
a
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(
S
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4
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v
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t
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h
(
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=
8
v
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l
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0
mA
h
3
.
1
.
Sy
s
t
e
m
a
rc
hite
ct
ure
I
n
th
is
r
esear
ch
,
th
e
s
y
s
tem
f
r
am
ewo
r
k
is
co
n
s
tr
u
cted
u
s
in
g
a
s
et
o
f
estab
lis
h
ed
W
SN
co
m
p
o
n
e
n
ts
.
T
h
ese
in
clu
d
e
t
h
e
E
SP
3
2
m
i
cr
o
co
n
tr
o
ller
,
SD
ca
r
d
m
o
d
u
l
e,
I
NA2
1
9
s
en
s
o
r
,
lith
iu
m
b
a
tter
y
,
an
d
L
E
D,
all
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
3
,
Sep
tem
b
er
20
25
:
181
2
-
1
8
2
1
1814
in
teg
r
ated
to
f
o
r
m
a
co
h
esiv
e
an
d
f
u
n
ctio
n
al
s
y
s
tem
.
T
h
e
in
t
eg
r
atio
n
o
f
t
h
ese
co
m
p
o
n
en
ts
f
ac
ilit
ates
s
ea
m
le
s
s
o
p
er
atio
n
a
n
d
e
f
f
icien
t d
ata
e
x
ch
an
g
e,
wh
ic
h
ar
e
ess
en
tial f
o
r
th
e
s
u
cc
ess
f
u
l e
x
ec
u
tio
n
o
f
t
h
e
r
esear
ch
.
Fig
u
r
e
1
(
a
)
illu
s
tr
ates
th
e
s
y
s
tem
f
r
am
ewo
r
k
d
ev
el
o
p
ed
i
n
th
is
s
tu
d
y
,
wh
ich
is
b
ased
o
n
W
SN
co
m
p
o
n
en
ts
.
Fig
u
r
e
1
(
b
)
s
h
o
ws
th
is
s
im
u
latio
n
s
etu
p
an
d
s
y
s
tem
ar
ch
itectu
r
e
p
r
o
v
id
e
s
a
co
m
p
r
e
h
en
s
iv
e
o
v
er
v
iew
o
f
th
e
o
p
er
atio
n
al
m
ec
h
an
is
m
o
f
th
e
p
r
o
p
o
s
ed
W
SN.
I
n
th
is
s
etu
p
,
th
e
E
SP
3
2
m
ic
r
o
co
n
tr
o
ller
f
u
n
ctio
n
s
as
th
e
ce
n
tr
al
p
r
o
c
ess
in
g
u
n
it,
r
esp
o
n
s
ib
le
f
o
r
tr
an
s
m
itti
n
g
a
d
ata
s
tr
ea
m
co
m
p
o
s
ed
o
f
r
an
d
o
m
v
alu
es.
T
h
e
I
NA2
1
9
s
en
s
o
r
m
ea
s
u
r
es
b
atter
y
v
o
ltag
e
in
r
ea
l
tim
e,
en
a
b
lin
g
c
o
n
tin
u
o
u
s
p
o
wer
m
o
n
ito
r
in
g
th
r
o
u
g
h
o
u
t
s
y
s
tem
o
p
er
atio
n
.
An
L
E
D
s
er
v
es
as
a
v
is
u
al
in
d
icato
r
to
s
ig
n
al
ac
tiv
e
d
ata
tr
an
s
m
is
s
io
n
.
All
m
ea
s
u
r
em
en
t
d
ata
an
d
g
e
n
er
at
ed
d
ata
s
tr
ea
m
s
ar
e
s
to
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ed
o
n
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SD
ca
r
d
m
o
d
u
le,
en
s
u
r
in
g
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ata
av
ailab
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f
o
r
s
u
b
s
eq
u
en
t
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aly
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is
.
T
h
e
en
ti
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e
s
y
s
tem
u
s
es
a
b
atter
y
t
h
at
s
u
p
p
lies
en
er
g
y
to
all
c
o
m
p
o
n
en
ts
in
th
e
W
SN.
T
h
is
d
esig
n
en
ab
les
th
e
s
y
s
te
m
to
o
p
er
ate
au
to
n
o
m
o
u
s
ly
an
d
ef
f
icien
tly
in
b
o
t
h
d
ata
m
an
ag
em
en
t
an
d
p
o
wer
co
n
s
u
m
p
tio
n
m
o
n
ito
r
in
g
.
(
a)
(
b
)
Fig
u
r
e
1
.
Sy
s
tem
ar
c
h
itectu
r
e:
(
a)
illu
s
tr
ated
s
im
u
latio
n
an
d
(
b
)
s
im
u
latio
n
s
etu
p
3
.
2
.
Ada
pta
t
io
n
m
ec
ha
nis
m
T
h
is
s
tr
u
ctu
r
ed
p
r
o
ce
s
s
en
s
u
r
es
th
at
th
e
s
y
s
tem
r
e
s
p
o
n
d
s
ef
f
ec
tiv
ely
to
ch
an
g
in
g
co
n
d
itio
n
s
,
p
ar
ticu
lar
ly
i
n
ter
m
s
o
f
p
o
we
r
m
an
a
g
em
en
t.
T
h
e
f
lo
w
o
f
th
e
ad
a
p
tatio
n
p
r
o
ce
s
s
is
illu
s
tr
ated
in
Fig
u
r
e
2
.
Fig
u
r
e
2
illu
s
tr
ates
th
e
ad
ap
tatio
n
m
ec
h
an
is
m
im
p
lem
e
n
ted
in
th
is
s
tu
d
y
,
wh
ich
co
m
p
r
is
es
s
ev
er
al
s
eq
u
en
tial
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
A
n
a
p
p
r
o
a
ch
o
f b
a
tter
y
a
d
a
p
t
a
tio
n
in
w
ir
eless
s
en
s
o
r
n
et
w
o
r
k
w
ith
r
e
s
o
u
r
ce
…
(
Ju
ma
d
i
Ma
b
e
P
a
r
en
r
en
g
)
1815
s
tag
es.
T
h
e
p
r
o
ce
s
s
b
eg
in
s
with
r
an
d
o
m
d
ata
s
tr
ea
m
in
g
,
wh
er
e
th
e
d
ata
r
ec
eiv
e
d
b
y
th
e
s
en
s
o
r
n
o
d
e
is
tr
an
s
m
itted
in
r
ea
l
tim
e
t
o
th
e
s
in
k
n
o
d
e.
T
h
is
is
f
o
llo
wed
b
y
a
r
eso
u
r
ce
m
o
n
ito
r
in
g
p
h
ase,
wh
er
e
th
e
b
atter
y
s
tatu
s
is
co
n
tin
u
o
u
s
ly
ev
alu
at
ed
to
d
etec
t
c
r
itical
p
o
wer
co
n
d
itio
n
s
.
I
f
th
e
b
atter
y
le
v
el
i
s
with
in
th
e
n
o
r
m
al
r
an
g
e
(
>
5
0
%),
all
g
e
n
er
ated
d
ata
is
s
to
r
ed
.
Ho
wev
er
,
wh
en
th
e
b
atter
y
lev
el
f
alls
b
elo
w
t
h
e
cr
itical
th
r
esh
o
ld
(
<5
0
%),
th
e
s
y
s
tem
in
itiates
a
b
atter
y
ad
ap
tatio
n
p
r
o
ce
s
s
[
23
].
Fig
u
r
e
2
.
Ad
a
p
tatio
n
m
ec
h
an
i
s
m
In
th
is
r
esear
ch
,
th
e
ad
a
p
tatio
n
p
r
o
ce
s
s
in
co
r
p
o
r
ates
two
k
e
y
m
ec
h
an
is
m
s
:
class
if
icatio
n
alg
o
r
ith
m
s
an
d
d
ee
p
s
leep
p
r
o
ce
d
u
r
es.
T
h
e
d
ee
p
s
leep
p
r
o
to
c
o
l
is
tr
ig
g
er
ed
wh
en
b
atter
y
v
o
ltag
e
r
ea
ch
es
s
p
ec
if
i
c
th
r
esh
o
ld
s
.
W
h
en
th
e
v
o
ltag
e
i
s
b
etwe
en
6
.
0
V
–
5
.
5
V,
th
e
s
y
s
tem
en
ter
s
a
d
ee
p
s
leep
m
o
d
e
f
o
r
5
s
ec
o
n
d
s
as
an
in
itial
en
e
r
g
y
s
av
in
g
r
esp
o
n
s
e.
I
f
th
e
v
o
ltag
e
d
r
o
p
s
f
u
r
th
er
to
b
etwe
en
5
.
5
V
–
5
.
0
V,
th
e
d
ee
p
s
leep
d
u
r
atio
n
is
ex
ten
d
e
d
to
1
0
s
ec
o
n
d
s
.
As
th
e
b
atter
y
lev
el
d
ec
r
ea
s
es
to
th
e
5
.
0
V
–
4
.
5
V
r
an
g
e,
th
e
s
y
s
te
m
in
cr
ea
s
es
th
e
d
ee
p
s
leep
in
ter
v
al
to
1
5
s
ec
o
n
d
s
.
Fin
ally
,
w
h
en
th
e
b
atter
y
lev
el
r
ea
c
h
es
4
.
5
V
–
4
.
0
V,
th
e
s
y
s
tem
p
r
o
lo
n
g
s
th
e
d
ee
p
s
leep
d
u
r
atio
n
to
2
0
s
ec
o
n
d
s
,
d
e
m
o
n
s
tr
atin
g
a
h
ig
h
ly
ad
ap
tiv
e
r
esp
o
n
s
e
to
c
r
itical
en
er
g
y
co
n
d
itio
n
s
.
T
h
e
f
o
llo
win
g
s
ec
tio
n
illu
s
tr
ates
th
e
p
r
o
ce
s
s
o
f
d
o
m
in
an
t
d
ata
e
x
tr
ac
tio
n
u
s
in
g
th
e
class
if
icatio
n
alg
o
r
ith
m
.
Fig
u
r
e
3
(
a)
p
r
esen
ts
th
e
f
lo
wch
ar
t
o
f
th
e
class
if
icatio
n
alg
o
r
ith
m
u
s
ed
to
d
eter
m
in
e
th
e
d
o
m
in
an
t d
ata
to
b
e
tr
an
s
m
itted
as
th
e
s
y
s
tem
’
s
o
u
tp
u
t.
T
h
e
class
if
icatio
n
p
r
o
ce
s
s
in
v
o
lv
es
id
en
tify
i
n
g
t
h
e
mode
f
r
o
m
an
ar
r
ay
o
f
r
a
n
d
o
m
ly
g
en
e
r
ated
in
teg
e
r
s
,
wh
ich
r
ep
r
esen
ts
th
e
m
o
s
t
f
r
eq
u
en
tl
y
o
cc
u
r
r
in
g
v
alu
e
in
th
e
d
ataset
[
2
4
]
.
T
h
e
alg
o
r
ith
m
b
eg
in
s
with
th
e
in
itializatio
n
o
f
th
e
v
a
r
iab
le
=
10
,
in
d
icatin
g
th
at
th
e
ar
r
ay
[
]
will
co
n
tain
ten
elem
en
ts
.
E
x
e
cu
ted
f
r
o
m
th
e
in
d
e
x
=
0
to
=
−
1
,
wh
er
e
ea
ch
elem
en
t
o
f
th
e
ar
r
ay
is
p
o
p
u
lated
with
r
an
d
o
m
d
ata
b
etwe
en
0
an
d
9
u
s
in
g
th
e
(
0
,
9
)
f
u
n
ctio
n
.
On
ce
all
elem
en
ts
ar
e
p
o
p
u
lated
,
th
e
p
r
o
g
r
am
in
v
o
k
es
th
e
(
,
)
f
u
n
ctio
n
to
id
e
n
tify
t
h
e
o
f
th
e
a
r
r
ay
.
I
f
n
o
m
o
d
e
is
d
etec
ted
(
i.e
.
,
n
o
v
alu
e
o
cc
u
r
s
m
o
r
e
th
an
o
n
ce
)
,
all
elem
e
n
ts
in
th
e
ar
r
ay
ar
e
r
e
f
r
esh
ed
with
n
ew
r
an
d
o
m
v
alu
es,
an
d
th
e
p
r
o
ce
s
s
is
r
ep
ea
ted
.
U
p
o
n
s
u
c
c
e
s
s
f
u
l
l
y
i
d
e
n
t
i
f
y
i
n
g
a
,
t
h
e
r
e
s
u
l
t
i
s
s
t
o
r
e
d
i
n
t
h
e
[
]
a
r
r
a
y
,
a
n
d
t
h
e
f
i
r
s
t
v
a
l
u
e
(
i
.
e
.
,
t
h
e
m
o
s
t
d
o
m
i
n
a
n
t
o
n
e
)
i
s
ass
i
g
n
e
d
t
o
t
h
e
v
a
r
i
a
b
l
e
.
T
h
e
a
l
g
o
r
i
t
h
m
t
e
r
m
i
n
a
t
es
o
n
c
e
t
h
e
d
o
m
i
n
a
n
t
v
a
l
u
e
h
a
s
b
e
e
n
i
d
e
n
t
i
f
i
e
d
a
n
d
s
t
o
r
e
d
.
T
h
i
s
f
l
o
w
c
h
a
r
t
p
r
o
v
i
d
e
s
a
s
t
r
a
i
g
h
t
f
o
r
w
a
r
d
m
e
t
h
o
d
f
o
r
c
l
a
s
s
i
f
y
i
n
g
d
o
m
i
n
a
n
t
v
a
l
u
e
s
wi
t
h
i
n
a
d
a
ta
s
e
t
a
n
d
c
a
n
b
e
a
p
p
l
i
e
d
i
n
v
a
r
i
o
u
s
d
a
t
a
a
n
al
y
s
is
a
n
d
d
e
c
is
i
o
n
m
ak
i
n
g
s
c
e
n
a
r
i
o
s
.
Fig
u
r
e
3
(
b
)
illu
s
tr
ates
th
e
r
elatio
n
s
h
ip
b
etwe
en
th
e
class
if
icatio
n
alg
o
r
ith
m
a
n
d
th
e
d
ee
p
s
leep
m
ec
h
an
is
m
.
T
h
e
class
if
icatio
n
alg
o
r
ith
m
is
em
p
lo
y
ed
to
id
en
tify
an
d
tr
a
n
s
m
it o
n
ly
th
e
d
o
m
in
an
t d
ata,
th
er
e
b
y
r
ed
u
cin
g
t
h
e
p
r
o
ce
s
s
in
g
lo
ad
wh
en
th
e
s
y
s
tem
d
etec
ts
a
cr
itical
b
atter
y
co
n
d
itio
n
[
2
5
]
.
C
o
n
cu
r
r
e
n
tly
,
th
e
d
ee
p
s
leep
m
o
d
e
co
n
s
er
v
es
p
o
wer
b
y
m
in
im
izin
g
s
y
s
tem
u
p
tim
e,
with
th
e
s
leep
d
u
r
atio
n
d
y
n
am
ically
ad
j
u
s
ted
b
ased
o
n
th
e
b
atter
y
v
o
ltag
e
l
ev
el
[
23
]
.
T
h
e
in
te
g
r
atio
n
o
f
th
ese
two
m
ec
h
an
is
m
s
r
esu
lts
in
a
m
o
r
e
en
er
g
y
ef
f
icien
t
s
y
s
tem
,
en
ab
lin
g
W
SN d
ev
ices to
o
p
e
r
ate
lo
n
g
e
r
u
n
d
er
lim
ited
p
o
we
r
co
n
d
itio
n
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
3
,
Sep
tem
b
er
20
25
:
181
2
-
1
8
2
1
1816
(
a)
(
b
)
Fig
u
r
e
3
.
C
lass
if
icatio
n
alg
o
r
it
h
m
o
f
(
a)
f
l
o
wch
ar
t c
lass
if
icatio
n
alg
o
r
ith
m
an
d
(
b
)
r
elatio
n
s
h
i
p
b
etwe
en
d
ee
p
s
leep
an
d
th
e
class
if
icatio
n
m
e
ch
an
is
m
4.
RE
SU
L
T
AND
DI
SCUS
S
I
O
N
A
s
er
ies
o
f
ca
r
ef
u
lly
d
esig
n
e
d
test
in
g
s
ce
n
ar
io
s
was
co
n
d
u
cted
to
th
o
r
o
u
g
h
ly
ev
alu
ate
th
e
s
y
s
tem
wo
r
k
f
lo
w
a
n
d
ass
ess
th
e
ef
f
ec
tiv
en
ess
o
f
th
e
ad
ap
tatio
n
m
ec
h
an
is
m
s
ap
p
lied
to
th
e
W
SN
s
y
s
tem
.
T
h
e
s
ce
n
ar
io
s
wer
e
s
tr
u
ctu
r
ed
to
c
ap
tu
r
e
th
e
s
y
s
tem
’
s
d
y
n
am
ic
r
esp
o
n
s
es
to
ad
ap
tatio
n
,
o
f
f
er
in
g
d
ee
p
er
in
s
ig
h
ts
in
to
its
b
eh
av
io
r
wh
en
f
ac
e
d
with
ch
allen
g
es c
o
m
m
o
n
ly
en
co
u
n
ter
ed
in
r
ea
l
wo
r
ld
o
p
er
at
io
n
al
co
n
tex
ts
.
4
.
1
.
T
esting
wit
ho
ut
a
cla
s
s
if
ica
t
io
n a
lg
o
rit
hm
a
nd
wit
ho
ut
a
da
pta
t
io
n
Fig
u
r
e
4
(
a
)
p
r
esen
ts
a
g
r
ap
h
illu
s
tr
atin
g
a
s
ig
n
if
ican
t
d
ec
li
n
e
in
b
atter
y
ca
p
ac
ity
o
n
ce
t
h
e
v
o
ltag
e
d
r
o
p
s
to
7
V,
o
b
s
er
v
e
d
in
th
e
t
est
s
ce
n
ar
io
with
o
u
t
class
if
ica
tio
n
alg
o
r
ith
m
s
an
d
ad
ap
tatio
n
m
ec
h
an
is
m
s
.
T
h
is
r
ap
id
d
ec
r
ea
s
e
is
p
r
im
ar
ily
c
au
s
ed
b
y
co
n
tin
u
o
u
s
r
ea
l
tim
e
d
ata
tr
an
s
m
is
s
io
n
,
wh
ich
r
esu
lts
in
ex
ce
s
s
iv
e
b
atter
y
co
n
s
u
m
p
tio
n
.
Un
d
e
r
th
ese
s
tan
d
ar
d
o
p
er
atin
g
co
n
d
i
tio
n
s
,
th
e
b
atter
y
s
u
s
tain
ed
o
p
er
atio
n
f
o
r
1
6
,
2
2
3
s
ec
o
n
d
s
,
d
u
r
i
n
g
wh
ich
t
h
e
s
y
s
tem
g
en
er
ated
a
to
tal
o
f
3
9
,
9
5
1
d
ata
e
n
tr
ies.
T
h
e
av
er
ag
e
b
atter
y
u
s
ag
e
was
r
ec
o
r
d
e
d
at
0
.
0
9
2
4
6
1
3
2
0
3
m
illi
am
p
er
e
s
ec
o
n
d
s
(
m
As).
T
h
ese
r
esu
lts
p
r
o
v
e
th
e
e
f
f
ec
tiv
en
ess
o
f
th
e
ad
ap
tatio
n
s
tr
ateg
y
i
n
s
av
in
g
e
n
er
g
y
a
n
d
e
x
ten
d
in
g
th
e
s
y
s
tem
'
s
o
p
er
atio
n
al
tim
e.
4
.
2
.
T
esting
wit
ho
ut
a
cla
s
s
if
ica
t
io
n a
lg
o
rit
hm
a
nd
wit
h
a
da
pta
t
io
n
Fig
u
r
e
4
(
b
)
s
h
o
ws
th
e
im
p
r
o
v
em
en
t
in
s
y
s
tem
p
er
f
o
r
m
an
ce
d
u
r
in
g
test
in
g
with
o
u
t
th
e
u
s
e
o
f
a
class
if
icatio
n
alg
o
r
ith
m
,
b
u
t
with
th
e
im
p
lem
en
tatio
n
o
f
b
att
er
y
ad
ap
tatio
n
.
T
h
e
ad
ap
tatio
n
s
tr
ateg
y
is
ca
r
r
ied
o
u
t
b
y
ac
tiv
atin
g
d
ee
p
s
leep
m
o
d
e
wh
e
n
th
e
b
atter
y
v
o
lt
ag
e
r
ea
c
h
es
a
c
r
itical
th
r
esh
o
ld
,
s
o
th
at
p
o
wer
co
n
s
u
m
p
tio
n
is
r
ed
u
ce
d
a
n
d
b
atter
y
life
is
ex
ten
d
ed
.
Af
ter
ad
ap
tatio
n
is
ac
tiv
ated
at
a
v
o
ltag
e
o
f
6
V,
th
e
s
y
s
tem
is
ab
le
to
o
p
er
ate
f
o
r
1
9
,
8
3
0
s
ec
o
n
d
s
b
y
g
e
n
er
atin
g
1
8
,
7
6
4
d
ata,
an
d
t
h
e
av
er
ag
e
b
a
tter
y
co
n
s
u
m
p
tio
n
is
0
.
0
7
5
6
4
2
9
6
5
2
m
illi
am
p
er
e
s
ec
o
n
d
s
(
m
As
)
.
T
h
ese
r
esu
lts
p
r
o
v
e
th
e
ef
f
ec
tiv
en
ess
o
f
th
e
ad
ap
tatio
n
s
tr
ateg
y
in
s
av
in
g
en
e
r
g
y
a
n
d
e
x
ten
d
in
g
th
e
s
y
s
tem
'
s
o
p
er
atio
n
al
tim
e.
4
.
3
.
T
esting
wit
h
a
cla
s
s
if
ica
t
io
n a
lg
o
rit
hm
wit
ho
ut
a
da
pta
t
io
n
Fig
u
r
e
4
(
c
)
s
h
o
ws
th
e
test
r
esu
lts
with
th
e
class
if
icatio
n
alg
o
r
ith
m
with
o
u
t
ad
ap
tatio
n
.
I
n
th
is
s
ce
n
ar
io
,
th
e
b
atter
y
o
n
l
y
last
ed
f
o
r
1
1
,
1
0
3
s
ec
o
n
d
s
with
a
to
tal
o
f
3
4
,
1
7
6
d
ata
g
en
er
ate
d
,
an
d
an
av
e
r
ag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
A
n
a
p
p
r
o
a
ch
o
f b
a
tter
y
a
d
a
p
t
a
tio
n
in
w
ir
eless
s
en
s
o
r
n
et
w
o
r
k
w
ith
r
e
s
o
u
r
ce
…
(
Ju
ma
d
i
Ma
b
e
P
a
r
en
r
en
g
)
1817
co
n
s
u
m
p
tio
n
o
f
0
.
1
3
5
0
9
8
6
2
2
m
illi
am
p
er
e
s
ec
o
n
d
s
(
m
As
)
.
T
h
e
g
r
ap
h
s
h
o
ws
a
s
h
ar
p
d
ec
r
ea
s
e
in
b
atter
y
ca
p
ac
ity
wh
en
th
e
v
o
ltag
e
r
ea
ch
es
7
V,
in
d
icatin
g
h
ig
h
en
er
g
y
co
n
s
u
m
p
tio
n
d
u
e
to
th
e
c
o
n
tin
u
o
u
s
class
if
icatio
n
p
r
o
ce
s
s
.
I
n
th
e
ab
s
en
ce
o
f
an
ad
ap
tatio
n
m
ec
h
an
is
m
,
th
e
u
s
e
o
f
a
class
if
icatio
n
alg
o
r
ith
m
s
ig
n
if
ican
tly
in
cr
ea
s
es
p
o
wer
co
n
s
u
m
p
tio
n
.
T
h
e
W
SN
s
y
s
tem
b
ec
o
m
es
m
o
r
e
en
e
r
g
y
-
in
ten
s
iv
e
d
u
e
to
th
e
o
n
g
o
in
g
ex
ec
u
tio
n
o
f
class
if
icatio
n
p
r
o
ce
s
s
es,
r
esu
ltin
g
in
ac
ce
ler
ated
b
atter
y
d
ep
letio
n
.
T
h
is
h
ig
h
lig
h
ts
th
e
lim
itatio
n
s
o
f
o
p
er
atin
g
with
o
u
t a
n
o
p
tim
ized
en
er
g
y
m
a
n
ag
em
en
t a
p
p
r
o
ac
h
.
4
.
4
.
T
esting
w
it
h
a
cla
s
s
if
ica
t
io
n a
lg
o
rit
hm
a
nd
wit
h
a
da
pta
t
io
n
Fig
u
r
e
4
(
d
)
illu
s
tr
ates
th
e
test
i
n
g
s
ce
n
ar
io
in
v
o
lv
in
g
th
e
im
p
lem
en
tatio
n
o
f
a
class
if
icatio
n
alg
o
r
ith
m
co
m
b
in
ed
with
d
ee
p
s
leep
m
o
d
e
as
an
ad
ap
tatio
n
s
tr
ateg
y
wh
en
th
e
b
atter
y
r
ea
c
h
es
a
cr
itical
th
r
esh
o
ld
.
I
n
itially
,
th
e
s
y
s
tem
tr
an
s
m
it
s
r
an
d
o
m
d
ata,
f
o
llo
wed
b
y
th
e
id
en
tific
atio
n
o
f
d
o
m
i
n
an
t
d
ata
d
u
r
in
g
th
e
ad
ap
tatio
n
p
h
ase.
As
a
r
esu
lt
,
two
ty
p
es
o
f
d
ata
ar
e
g
en
e
r
ated
r
a
n
d
o
m
d
ata
d
u
r
in
g
n
o
r
m
al
o
p
e
r
atio
n
an
d
d
o
m
in
an
t
d
ata
d
u
r
in
g
th
e
ac
tiv
atio
n
o
f
d
ee
p
s
leep
m
o
d
e.
T
h
is
test
h
ig
h
lig
h
ts
th
e
im
p
o
r
tan
ce
o
f
d
y
n
am
ic
ad
a
p
tatio
n
in
b
atter
y
p
o
wer
ed
s
y
s
tem
s
.
W
h
en
th
e
v
o
ltag
e
d
r
o
p
s
to
6
V,
th
e
a
d
a
p
tatio
n
m
ec
h
an
is
m
is
ac
tiv
ated
to
s
av
e
en
er
g
y
.
T
h
e
s
y
s
tem
o
p
er
ated
f
o
r
1
5
,
1
3
6
s
ec
o
n
d
s
,
g
en
er
atin
g
2
3
,
0
0
4
d
ata
en
tr
ies
with
an
av
er
ag
e
p
o
wer
co
n
s
u
m
p
tio
n
o
f
0
.
0
9
9
1
0
1
4
7
9
9
m
illi
am
p
er
e
s
ec
o
n
d
s
(
m
As).
T
h
e
g
r
ap
h
s
h
o
ws
a
s
teep
d
ec
lin
e
in
b
atter
y
ca
p
ac
ity
b
ef
o
r
e
a
d
ap
tatio
n
is
ap
p
lied
.
Af
ter
th
e
ac
tiv
atio
n
o
f
d
ee
p
s
leep
m
o
d
e
an
d
class
if
icatio
n
,
th
e
s
y
s
tem
d
em
o
n
s
tr
ates
a
s
ig
n
if
ica
n
t
im
p
r
o
v
em
e
n
t
in
en
d
u
r
a
n
ce
.
T
h
ese
r
esu
lts
co
n
f
ir
m
th
e
ef
f
ec
tiv
en
ess
o
f
t
h
e
a
d
ap
tatio
n
s
tr
ateg
y
in
e
x
ten
d
in
g
b
atter
y
life
an
d
en
h
an
cin
g
s
y
s
tem
p
er
f
o
r
m
an
c
e
u
n
d
er
en
er
g
y
-
co
n
s
tr
ain
ed
co
n
d
itio
n
s
.
Fig
u
r
e
5
p
r
es
e
n
ts
a
co
m
p
a
r
at
iv
e
g
r
a
p
h
o
f
a
ll
t
esti
n
g
s
ce
n
ar
i
o
s
,
b
ase
d
o
n
b
a
tte
r
y
v
o
l
ta
g
e
m
e
a
s
u
r
em
e
n
ts
r
e
co
r
d
e
d
at
o
n
e
s
ec
o
n
d
i
n
t
er
v
als
.
T
h
e
g
r
a
p
h
h
i
g
h
li
g
h
ts
a
n
o
tic
ea
b
l
e
a
n
d
r
a
p
i
d
d
ec
l
in
e
in
b
atte
r
y
ca
p
a
cit
y
ar
o
u
n
d
t
h
e
7
V
m
ar
k
,
p
ar
tic
u
l
ar
l
y
i
n
s
ce
n
a
r
i
o
s
wit
h
o
u
t
a
d
a
p
tati
o
n
.
I
n
c
o
n
t
r
ast
,
w
h
e
n
ad
a
p
tati
o
n
m
e
ch
a
n
is
m
s
ar
e
a
p
p
li
ed
,
t
h
e
g
r
ap
h
d
is
p
l
ay
s
a
m
o
r
e
g
r
a
d
u
al
a
n
d
s
ta
b
l
e
r
ed
u
c
ti
o
n
i
n
b
att
e
r
y
ca
p
a
cit
y
,
esp
ec
i
all
y
o
n
c
e
t
h
e
b
at
te
r
y
r
ea
ch
es
6
V
.
T
h
e
v
is
u
al
c
o
m
p
ar
is
o
n
u
n
d
er
s
c
o
r
es
a
k
ey
f
in
d
i
n
g
s
c
e
n
a
r
i
o
s
t
h
at
im
p
le
m
e
n
t
b
att
er
y
ad
ap
tat
io
n
c
o
n
s
is
te
n
t
l
y
d
e
m
o
n
s
tr
a
te
l
o
n
g
er
o
p
er
ati
o
n
a
l l
if
esp
an
s
t
h
a
n
t
h
o
s
e
w
it
h
o
u
t
ad
ap
tat
i
o
n
.
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
4
.
T
esti
n
g
s
ce
n
a
r
io
o
f
(
a)
g
r
ap
h
test
in
g
with
o
u
t
a
clas
s
if
icatio
n
alg
o
r
ith
m
a
n
d
with
o
u
t a
d
ap
tatio
n
,
(
b
)
g
r
ap
h
test
in
g
with
o
u
t
a
cla
s
s
if
icatio
n
alg
o
r
ith
m
with
ad
a
p
tatio
n
,
(
c)
g
r
ap
h
test
in
g
with
a
class
if
icatio
n
alg
o
r
ith
m
with
o
u
t a
d
ap
tatio
n
,
an
d
(
d
)
g
r
a
p
h
test
in
g
with
a
cl
ass
if
icatio
n
alg
o
r
ith
m
an
d
with
ad
ap
tatio
n
A
k
ey
f
o
c
u
s
o
f
th
is
s
tu
d
y
is
t
h
e
im
p
ac
t
o
f
class
if
icatio
n
al
g
o
r
ith
m
s
o
n
b
atter
y
co
n
s
u
m
p
t
io
n
.
W
h
ile
class
if
icatio
n
en
h
an
ce
s
d
ata
p
r
o
ce
s
s
in
g
b
y
id
e
n
tify
in
g
an
d
g
r
o
u
p
in
g
r
ele
v
an
t
in
f
o
r
m
atio
n
,
it
also
in
cr
ea
s
es
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
3
,
Sep
tem
b
er
20
25
:
181
2
-
1
8
2
1
1818
co
m
p
u
tatio
n
al
d
em
an
d
s
.
E
ac
h
in
co
m
in
g
d
ata
p
o
in
t
m
u
s
t
b
e
an
aly
ze
d
an
d
ca
teg
o
r
ize
d
,
r
eq
u
ir
in
g
m
o
r
e
p
r
o
ce
s
s
in
g
p
o
we
r
th
an
s
im
p
l
y
tr
an
s
m
itti
n
g
u
n
f
ilter
ed
d
ata.
T
h
is
in
cr
ea
s
ed
wo
r
k
lo
ad
lea
d
s
to
h
ig
h
e
r
en
er
g
y
co
n
s
u
m
p
tio
n
.
T
h
is
is
clea
r
ly
r
ef
lecte
d
in
t
h
e
r
esu
lts
in
th
e
s
ce
n
ar
io
w
ith
o
u
t
ad
a
p
tatio
n
,
wh
e
r
e
th
e
u
s
e
o
f
a
class
if
icatio
n
alg
o
r
ith
m
r
esu
lt
ed
in
th
e
b
atter
y
last
in
g
o
n
ly
1
1
,
1
0
3
s
ec
o
n
d
s
,
co
m
p
ar
ed
to
1
6
,
2
2
3
s
ec
o
n
d
s
in
th
e
non
-
class
if
icatio
n
s
ce
n
ar
io
.
Alth
o
u
g
h
class
if
icatio
n
im
p
r
o
v
es
p
r
o
ce
s
s
in
g
ef
f
icien
cy
,
it
s
ig
n
if
ican
tly
ac
ce
ler
ates
b
atter
y
d
ep
letio
n
.
T
h
ese
f
in
d
in
g
s
u
n
d
e
r
s
co
r
e
t
h
e
n
ec
ess
ity
o
f
ef
f
ec
tiv
e
ad
a
p
tatio
n
s
tr
ateg
ies
t
o
co
u
n
ter
b
ala
n
ce
th
e
in
cr
ea
s
ed
p
o
wer
u
s
ag
e
in
tr
o
d
u
ce
d
b
y
cl
ass
if
icatio
n
,
th
er
eb
y
m
ain
tain
i
n
g
s
y
s
tem
lo
n
g
ev
ity
an
d
r
eliab
ilit
y
.
T
ab
le
2
p
r
esen
ts
a
co
m
p
ar
at
iv
e
an
aly
s
is
o
f
s
y
s
tem
p
er
f
o
r
m
an
ce
ac
r
o
s
s
th
r
ee
s
ce
n
ar
i
o
s
with
o
u
t
class
if
icatio
n
,
with
class
if
icat
io
n
o
n
l
y
,
an
d
with
class
if
icatio
n
co
m
b
i
n
ed
with
b
atter
y
ad
ap
tatio
n
.
I
n
th
e
ab
s
en
ce
o
f
class
if
icatio
n
,
th
e
s
y
s
tem
tr
an
s
m
its
r
aw
d
ata
with
o
u
t
p
r
o
ce
s
s
in
g
,
r
esu
ltin
g
in
lo
wer
en
er
g
y
co
n
s
u
m
p
tio
n
a
n
d
a
b
atter
y
life
o
f
1
6
,
2
2
3
s
ec
o
n
d
s
.
I
n
tr
o
d
u
cin
g
th
e
class
if
icatio
n
alg
o
r
ith
m
im
p
r
o
v
es
d
at
a
h
an
d
lin
g
b
y
o
r
g
a
n
izin
g
an
d
p
r
o
ce
s
s
in
g
in
f
o
r
m
atio
n
b
ef
o
r
e
tr
an
s
m
is
s
io
n
.
Ho
wev
er
,
th
is
in
cr
ea
s
es
co
m
p
u
tatio
n
al
lo
ad
a
n
d
e
n
er
g
y
co
n
s
u
m
p
tio
n
,
r
ed
u
cin
g
b
atter
y
life
to
1
1
,
1
0
3
s
ec
o
n
d
s
,
h
ig
h
lig
h
tin
g
a
tr
a
d
e
-
o
f
f
b
etwe
en
d
ata
ef
f
icien
cy
an
d
p
o
wer
u
s
ag
e.
W
h
en
class
if
icati
o
n
is
in
teg
r
ated
with
a
b
atter
y
ad
ap
tatio
n
s
tr
ateg
y
,
s
u
ch
as
d
ee
p
s
leep
m
o
d
e,
th
e
s
y
s
tem
co
n
s
er
v
es
en
er
g
y
d
u
r
i
n
g
cr
itical
b
atter
y
c
o
n
d
itio
n
s
b
y
r
ed
u
cin
g
ac
tiv
ity
.
I
n
th
is
s
ce
n
ar
io
,
th
e
b
atter
y
last
s
1
5
,
1
3
6
s
ec
o
n
d
s
.
T
h
ese
r
esu
lts
d
em
o
n
s
tr
ate
th
at
ad
ap
tatio
n
s
tr
ateg
ies
ca
n
ef
f
ec
tiv
ely
b
alan
ce
d
ata
p
r
o
ce
s
s
in
g
d
em
an
d
s
with
e
n
er
g
y
e
f
f
icien
cy
,
en
h
a
n
cin
g
s
y
s
tem
s
u
s
tain
ab
ilit
y
u
n
d
er
co
n
s
tr
ain
ed
p
o
wer
co
n
d
itio
n
s
.
W
h
ile
th
e
in
teg
r
atio
n
o
f
class
i
f
icatio
n
alg
o
r
ith
m
s
an
d
d
ee
p
s
leep
ad
ap
tatio
n
m
ec
h
an
is
m
s
h
as
p
r
o
v
en
ef
f
ec
tiv
e
in
test
in
g
s
ce
n
ar
io
s
,
s
ev
er
al
lim
itatio
n
s
m
u
s
t
b
e
co
n
s
id
er
e
d
f
o
r
r
ea
l
-
wo
r
l
d
im
p
lem
en
tatio
n
.
E
n
v
ir
o
n
m
en
tal
v
ar
ia
b
ilit
y
p
r
e
s
en
ts
a
m
ajo
r
ch
allen
g
e
.
Fact
o
r
s
s
u
ch
as
ex
tr
em
e
tem
p
e
r
at
u
r
es,
h
ig
h
h
u
m
id
ity
,
an
d
elec
tr
o
m
a
g
n
etic
in
ter
f
e
r
e
n
ce
ca
n
ad
v
er
s
ely
af
f
ec
t
b
at
ter
y
ca
p
ac
ity
a
n
d
o
v
er
all
s
y
s
tem
s
tab
ilit
y
.
Fo
r
in
s
tan
ce
,
b
o
th
lo
w
an
d
h
ig
h
tem
p
er
atu
r
es
ca
n
ac
ce
ler
ate
b
atter
y
d
eg
r
ad
atio
n
,
lim
itin
g
th
e
ef
f
ec
tiv
en
ess
o
f
d
ee
p
s
leep
m
ec
h
a
n
is
m
s
in
co
n
s
er
v
in
g
en
er
g
y
.
Fig
u
r
e
5
.
C
o
m
p
a
r
is
o
n
o
f
all
test
in
g
s
ce
n
ar
io
s
T
ab
le
2
.
R
esu
lts
co
m
p
ar
is
o
n
b
ef
o
r
e
an
d
a
f
ter
a
d
ap
tatio
n
A
sp
e
c
t
W
i
t
h
o
u
t
c
l
a
ss
i
f
i
c
a
t
i
o
n
W
i
t
h
c
l
a
ss
i
f
i
c
a
t
i
o
n
W
i
t
h
c
l
a
ss
i
f
i
c
a
t
i
o
n
a
n
d
w
i
t
h
a
d
a
p
t
a
t
i
o
n
B
a
t
t
e
r
y
l
i
f
e
16
,
2
2
3
se
c
o
n
d
s
11
,
1
0
3
se
c
o
n
d
s
15
,
1
3
6
se
c
o
n
d
s
D
a
t
a
p
r
o
c
e
s
si
n
g
D
a
t
a
i
s s
e
n
t
d
i
r
e
c
t
l
y
w
i
t
h
o
u
t
sel
e
c
t
i
o
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D
a
t
a
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l
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ssi
f
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e
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r
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mi
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o
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i
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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&
Dr
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N:
2088
-
8
6
9
4
A
n
a
p
p
r
o
a
ch
o
f b
a
tter
y
a
d
a
p
t
a
tio
n
in
w
ir
eless
s
en
s
o
r
n
et
w
o
r
k
w
ith
r
e
s
o
u
r
ce
…
(
Ju
ma
d
i
Ma
b
e
P
a
r
en
r
en
g
)
1819
Mo
r
eo
v
er
,
lar
g
e
s
ca
le
d
ep
lo
y
m
en
ts
f
ac
e
h
ar
d
wa
r
e
r
elate
d
co
n
s
tr
ain
ts
.
C
o
m
p
o
n
e
n
ts
s
u
ch
as
th
e
E
SP
3
2
m
o
d
u
le
an
d
I
NA2
1
9
s
en
s
o
r
h
av
e
in
h
er
en
t
lim
itatio
n
s
in
ter
m
s
o
f
o
p
er
atio
n
al
d
u
r
ab
ilit
y
an
d
p
o
wer
ef
f
icien
cy
,
p
ar
ticu
lar
ly
in
d
e
n
s
e
s
en
s
o
r
n
etwo
r
k
s
.
I
n
s
y
s
t
em
s
with
a
lar
g
e
n
u
m
b
e
r
o
f
n
o
d
es,
i
n
ter
d
e
v
ice
co
m
m
u
n
icatio
n
ca
n
s
ig
n
if
ica
n
tly
in
cr
ea
s
e
en
er
g
y
d
em
a
n
d
s
,
t
h
er
eb
y
r
ed
u
ci
n
g
th
e
e
f
f
ec
tiv
e
n
ess
o
f
s
leep
b
ased
p
o
wer
m
an
ag
em
e
n
t stra
teg
ies.
Ad
d
itio
n
ally
,
in
co
n
s
is
ten
cies
in
h
ar
d
war
e
s
p
ec
if
icatio
n
s
,
s
u
ch
as d
if
f
er
en
ce
s
in
m
an
u
f
ac
tu
r
in
g
q
u
ality
o
r
co
m
p
o
n
en
t t
o
ler
an
ce
s
,
m
ay
im
p
ac
t
o
v
er
all
s
y
s
tem
p
er
f
o
r
m
a
n
ce
a
n
d
r
eliab
ilit
y
.
5.
CO
NCLU
SI
O
N
T
h
is
s
tu
d
y
d
em
o
n
s
tr
ates
th
at
th
e
in
teg
r
atio
n
o
f
class
if
icati
o
n
alg
o
r
ith
m
s
a
n
d
d
ee
p
s
leep
s
tr
ateg
ies
ca
n
ef
f
ec
tiv
el
y
o
p
tim
ize
p
o
wer
u
s
ag
e
i
n
wir
eless
s
en
s
o
r
b
ased
s
y
s
tem
s
.
T
h
e
class
if
icatio
n
alg
o
r
ith
m
is
in
s
tr
u
m
en
tal
in
id
en
tif
y
in
g
d
o
m
in
an
t
d
ata,
e
n
ab
lin
g
m
o
r
e
ef
f
icien
t
d
ata
p
r
o
ce
s
s
in
g
,
w
h
ile
th
e
d
ee
p
s
leep
m
ec
h
an
is
m
co
n
s
er
v
es
en
er
g
y
b
y
r
ed
u
cin
g
s
y
s
tem
ac
tiv
ity
wh
en
th
e
b
atter
y
r
ea
c
h
es
cr
itical
lev
els.
E
x
p
er
im
en
tal
r
esu
lts
r
ev
ea
l
th
at
in
th
e
ab
s
en
ce
o
f
ad
a
p
tatio
n
,
th
e
b
atter
y
d
e
p
letes
m
o
r
e
r
ap
id
ly
.
I
n
co
n
tr
ast,
th
e
im
p
lem
e
n
tatio
n
o
f
d
ee
p
s
leep
s
ig
n
if
ican
tly
ex
te
n
d
s
b
atte
r
y
life
.
B
y
d
y
n
a
m
ically
ad
j
u
s
tin
g
th
e
d
u
r
atio
n
o
f
d
ee
p
s
leep
b
ased
o
n
b
atter
y
v
o
ltag
e
lev
els,
th
e
s
y
s
tem
ac
h
iev
es
g
r
ea
ter
en
er
g
y
ef
f
icien
cy
with
o
u
t
co
m
p
r
o
m
is
in
g
d
ata
p
r
o
ce
s
s
in
g
q
u
ality
.
Desp
ite
th
e
d
em
o
n
s
tr
ated
ef
f
e
ctiv
en
ess
o
f
t
h
ese
m
eth
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d
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le
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d
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ea
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ld
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ep
lo
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en
t.
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lo
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th
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ll
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s
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ith
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ateg
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ased
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ased
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atter
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atter
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I
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t J Po
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Dr
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t
,
Vo
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16
,
No
.
3
,
Sep
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b
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20
25
:
181
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1820
CO
NF
L
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S
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ST
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M
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Au
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s
tate
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t
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est.
DATA AV
AI
L
AB
I
L
I
T
Y
T
h
e
d
ata
s
u
p
p
o
r
tin
g
t
h
e
f
in
d
in
g
s
o
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is
s
tu
d
y
wer
e
g
en
er
a
ted
in
d
ep
e
n
d
en
tly
b
y
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e
a
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o
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u
r
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e
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r
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o
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esear
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.
All
d
ata
wer
e
o
b
tain
ed
th
r
o
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g
h
o
r
ig
in
al
wo
r
k
co
n
d
u
cted
b
y
th
e
r
esear
ch
team
an
d
d
o
n
o
t
i
n
v
o
lv
e
t
h
e
u
s
e
o
f
t
h
ir
d
p
ar
ty
d
ata.
T
h
e
d
ata
th
at
s
u
p
p
o
r
t
th
e
f
in
d
in
g
s
o
f
th
is
s
tu
d
y
ar
e
av
ailab
le
f
r
o
m
th
e
co
r
r
esp
o
n
d
in
g
au
th
o
r
,
[
J
M
P
]
,
u
p
o
n
r
ea
s
o
n
a
b
le
r
eq
u
est.
RE
F
E
R
E
NC
E
S
[
1
]
A
.
A
l
d
o
seri
,
K
.
N
.
A
l
-
K
h
a
l
i
f
a
,
a
n
d
A
.
M
.
H
a
m
o
u
d
a
,
“
A
I
-
p
o
w
e
r
e
d
i
n
n
o
v
a
t
i
o
n
i
n
d
i
g
i
t
a
l
t
r
a
n
sf
o
r
m
a
t
i
o
n
:
K
e
y
p
i
l
l
a
r
s
a
n
d
i
n
d
u
s
t
r
y
i
mp
a
c
t
,
”
S
u
s
t
a
i
n
a
b
i
l
i
t
y
(
S
w
i
t
z
e
rl
a
n
d
)
,
v
o
l
.
1
6
,
n
o
.
5
,
2
0
2
4
,
d
o
i
:
1
0
.
3
3
9
0
/
s
u
1
6
0
5
1
7
9
0
.
[
2
]
M
.
S
c
h
w
e
i
n
s
b
e
r
g
e
t
a
l
.
,
“
S
a
me
d
a
t
a
,
d
i
f
f
e
r
e
n
t
c
o
n
c
l
u
si
o
n
s
:
R
a
d
i
c
a
l
d
i
s
p
e
r
si
o
n
i
n
e
m
p
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c
a
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su
l
t
s
w
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n
i
n
d
e
p
e
n
d
e
n
t
a
n
a
l
y
s
t
s
o
p
e
r
a
t
i
o
n
a
l
i
z
e
a
n
d
t
e
s
t
t
h
e
s
a
me
h
y
p
o
t
h
e
s
i
s,
”
O
r
g
a
n
i
z
a
t
i
o
n
a
l
B
e
h
a
v
i
o
r
a
n
d
H
u
m
a
n
D
e
c
i
si
o
n
Pr
o
c
e
sses
,
v
o
l
.
1
6
5
,
n
o
.
J
u
n
e
,
p
p
.
2
2
8
–
2
4
9
,
2
0
2
1
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
o
b
h
d
p
.
2
0
2
1
.
0
2
.
0
0
3
.
[
3
]
M
.
F
.
O
t
h
ma
n
a
n
d
K
.
S
h
a
z
a
l
i
,
“
W
i
r
e
l
e
ss
s
e
n
s
o
r
n
e
t
w
o
r
k
a
p
p
l
i
c
a
t
i
o
n
s:
A
st
u
d
y
i
n
e
n
v
i
r
o
n
m
e
n
t
m
o
n
i
t
o
r
i
n
g
s
y
st
e
m,
”
Pr
o
c
e
d
i
a
En
g
i
n
e
e
ri
n
g
,
v
o
l
.
4
1
,
p
p
.
1
2
0
4
–
1
2
1
0
,
2
0
1
2
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
p
r
o
e
n
g
.
2
0
1
2
.
0
7
.
3
0
2
.
[
4
]
O
.
G
u
r
e
w
i
t
z
,
M
.
S
h
i
f
r
i
n
,
a
n
d
E.
D
v
i
r
,
“
D
a
t
a
G
a
t
h
e
r
i
n
g
t
e
c
h
n
i
q
u
e
s
i
n
W
S
N
:
a
c
r
o
ss
-
l
a
y
e
r
v
i
e
w
,
”
S
e
n
so
rs
,
v
o
l
.
2
2
,
n
o
.
7
,
2
0
2
2
,
d
o
i
:
1
0
.
3
3
9
0
/
s
2
2
0
7
2
6
5
0
.
[
5
]
A
.
La
n
z
o
l
l
a
a
n
d
M
.
S
p
a
d
a
v
e
c
c
h
i
a
,
“
W
i
r
e
l
e
ss
se
n
s
o
r
n
e
t
w
o
r
k
s
f
o
r
e
n
v
i
r
o
n
men
t
a
l
m
o
n
i
t
o
r
i
n
g
,
”
S
e
n
s
o
rs
(
S
w
i
t
z
e
r
l
a
n
d
)
,
v
o
l
.
2
1
,
n
o
.
4
,
p
p
.
1
–
3
,
2
0
2
1
,
d
o
i
:
1
0
.
3
3
9
0
/
s2
1
0
4
1
1
7
2
.
[
6
]
G
.
K
.
I
j
e
mar
u
,
K
.
L.
M
.
A
n
g
,
a
n
d
J.
K
.
P
.
S
e
n
g
,
“
W
i
r
e
l
e
ss
p
o
w
e
r
t
r
a
n
sf
e
r
a
n
d
e
n
e
r
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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1821
B
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iv
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a
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c
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id
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h
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m
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z
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sh
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3
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g
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ti
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fro
m
M
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r
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tate
Un
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2
0
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).
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o
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c
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n
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c
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ted
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n
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in
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0
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2
.
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e
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rn
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d
h
is
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re
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in
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a
d
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U
n
iv
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n
d
o
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i
n
2
0
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,
a
n
d
c
o
m
p
lete
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h
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s
Do
c
to
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ra
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tu
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n
c
e
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n
d
Tec
h
n
o
l
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g
y
,
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n
a
z
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wa
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iv
e
rsity
,
Ja
p
a
n
,
in
2
0
1
6
.
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is
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rre
n
tl
y
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lec
tu
re
r
a
t
t
h
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tate
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rsity
o
f
M
a
k
a
ss
a
r.
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re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
in
f
o
rm
a
ti
o
n
se
c
u
rit
y
,
c
ry
p
to
g
ra
p
h
y
,
a
n
d
c
y
b
e
rse
c
u
rit
y
.
He
c
a
n
b
e
c
o
n
tac
ted
a
t
e
m
a
il
:
wa
h
i
d
@u
n
m
.
a
c
.
id
.
Evaluation Warning : The document was created with Spire.PDF for Python.