I
nte
rna
t
io
na
l J
o
urna
l o
f
Adv
a
nces in Applie
d Science
s
(
I
J
AAS)
Vo
l.
3
,
No
.
4
,
Dec
em
b
er
201
4
,
p
p
.
20
2
~
20
5
I
SS
N:
2252
-
8814
202
J
o
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na
l ho
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ttp
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A
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th
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w
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©
201
4
In
s
t
it
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te o
f
A
d
v
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ST
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SYS
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is
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f
a
n
in
f
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Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
AA
S
I
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N:
2252
-
8814
C
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t D
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in
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203
d
etec
tio
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s
y
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m
d
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w
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Dis
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v
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es
:
1.
Un
s
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f
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r
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y
n
a
m
ic
n
e
t
w
o
r
k
r
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n
f
i
g
u
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.
2.
Sin
g
le
p
ath
r
o
u
t
in
g
ap
p
r
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ac
h
.
2.
P
RO
P
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D
SYS
T
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M
R
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m
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s
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s
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m
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v
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f
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W
e
co
n
s
id
er
th
e
is
s
u
e
o
f
r
ec
o
g
n
iz
in
g
c
u
ts
b
y
th
e
h
u
b
s
o
f
a
r
e
m
o
te
s
y
s
te
m
.
W
e
ac
ce
p
t th
at
th
er
e
is
a
n
u
n
iq
u
el
y
ass
i
g
n
ed
h
u
b
i
n
t
h
e
s
y
s
te
m
,
wh
ich
w
e
ca
ll
t
h
e
s
o
u
r
ce
n
o
d
e
s
in
ce
a
cu
t
m
ig
h
t
p
o
s
s
ib
l
y
s
ep
a
r
ate
a
h
u
b
f
r
o
m
th
e
s
o
u
r
ce
h
u
b
,
w
e
r
ec
o
g
n
ize
t
w
o
u
n
iq
u
e
r
es
u
lt
s
o
f
a
c
u
t
f
o
r
a
s
p
ec
if
ic
h
u
b
.
A
t t
h
e
p
o
in
t
w
h
en
a
h
u
b
u
is
d
etac
h
ed
f
r
o
m
t
h
e
s
o
u
r
ce
,
w
e
s
a
y
th
a
t
a
DOS
(
Dis
co
n
n
ec
ted
f
r
o
m
S
o
u
r
ce
)
o
cc
asio
n
h
as
h
ap
p
en
ed
f
o
r
u
.
W
h
en
a
cu
t
o
cc
u
r
s
in
th
e
n
et
w
o
r
k
t
h
at
d
o
es
n
o
t
s
ep
ar
ate
a
n
o
d
e
u
f
r
o
m
th
e
s
o
u
r
ce
n
o
d
e,
w
e
s
a
y
t
h
at
C
C
O
S
(
C
o
n
n
ec
ted
,
b
u
t
a
C
u
t
Occ
u
r
r
ed
So
m
e
w
h
e
r
e)
ev
en
t
h
as
o
cc
u
r
r
ed
f
o
r
u
.
B
y
c
u
t
d
etec
tio
n
w
e
m
ea
n
(
i)
d
etec
tio
n
b
y
ea
ch
n
o
d
e
o
f
a
D
OS
e
v
e
n
t
w
h
e
n
it
o
cc
u
r
s
,
an
d
(
ii)
d
etec
tio
n
o
f
C
C
OS
e
v
e
n
ts
b
y
t
h
e
n
o
d
es
clo
s
e
to
a
cu
t,
an
d
t
h
e
ap
p
r
o
x
im
a
te
lo
ca
tio
n
o
f
t
h
e
c
u
t.
I
n
th
is
ar
tic
le
w
e
p
r
o
p
o
s
e
a
d
is
tr
ib
u
ted
al
g
o
r
ith
m
to
d
et
ec
t
cu
t
s
,
n
a
m
ed
t
h
e
Dis
tr
ib
u
ted
C
u
t
Dete
ctio
n
(
D
C
D)
alg
o
r
it
h
m
.
T
h
e
a
l
g
o
r
ith
m
allo
w
s
ea
c
h
n
o
d
e
to
d
etec
t
DOS
ev
e
n
t
s
an
d
a
s
u
b
s
et
o
f
n
o
d
es
to
d
etec
t
C
C
OS
e
v
en
ts
.
T
h
e
alg
o
r
it
h
m
w
e
p
r
o
p
o
s
e
is
d
is
tr
ib
u
ted
a
n
d
as
y
n
c
h
r
o
n
o
u
s
:
i
t
in
v
o
l
v
es
o
n
l
y
lo
ca
l
co
m
m
u
n
i
ca
tio
n
b
et
w
ee
n
n
eig
h
b
o
r
in
g
n
o
d
es,
an
d
is
r
o
b
u
s
t
to
te
m
p
o
r
ar
y
co
m
m
u
n
icatio
n
f
ail
u
r
e
b
et
w
ee
n
n
o
d
e
p
air
s
T
h
e
co
n
v
er
g
en
ce
r
ate
o
f
t
h
e
co
m
p
u
tat
io
n
i
s
i
n
d
ep
en
d
en
t
o
f
t
h
e
s
ize
an
d
s
tr
u
ct
u
r
e
o
f
th
e
n
et
w
o
r
k
.
3.
M
O
DULE
D
E
SCR
I
P
T
I
O
N
3
.
1
.
Dis
t
ribute
d C
ut
Det
ec
t
io
n
T
h
e
alg
o
r
ith
m
allo
w
s
ea
c
h
n
o
d
e
to
d
etec
t
DOS
ev
e
n
ts
an
d
a
s
u
b
s
et
o
f
n
o
d
es
to
d
etec
t
C
C
OS
ev
e
n
t
s
.
T
h
e
alg
o
r
ith
m
w
e
p
r
o
p
o
s
e
is
d
is
tr
ib
u
ted
an
d
as
y
n
ch
r
o
n
o
u
s
:
it
in
v
o
lv
e
s
o
n
l
y
lo
ca
l
co
m
m
u
n
icat
io
n
b
et
w
ee
n
n
eig
h
b
o
r
in
g
n
o
d
es,
an
d
is
r
o
b
u
s
t
to
te
m
p
o
r
ar
y
co
m
m
u
n
icati
o
n
f
ail
u
r
e
b
et
w
ee
n
n
o
d
e
p
air
s
.
A
k
e
y
co
m
p
o
n
en
t
o
f
th
e
DC
D
al
g
o
r
ith
m
is
a
d
is
tr
ib
u
ted
iter
ativ
e
co
m
p
u
tatio
n
al
s
tep
th
r
o
u
g
h
w
h
ic
h
th
e
n
o
d
es
co
m
p
u
te
t
h
eir
(
f
ictitio
u
s
)
elec
tr
ical
p
o
ten
tial
s
.
T
h
e
co
n
v
er
g
en
ce
r
ate
o
f
th
e
co
m
p
u
tat
io
n
is
i
n
d
ep
en
d
en
t
o
f
th
e
s
ize
a
n
d
s
tr
u
ct
u
r
e
o
f
th
e
n
et
w
o
r
k
.
3
.
2
.
Cut
s
in Wire
less
Sens
o
r
Net
w
o
rk
s
ONE
o
f
th
e
n
o
v
el
d
if
f
ic
u
ltie
s
in
p
o
r
tab
le
ad
h
o
c
o
r
g
an
izin
g
s
it
u
atio
n
s
is
t
h
e
w
o
n
d
er
o
f
s
y
s
te
m
p
ar
ce
lin
g
,
w
h
ich
i
s
th
e
b
r
ea
k
d
o
w
n
o
f
a
n
as
s
o
ciate
d
s
y
s
te
m
to
p
o
lo
g
y
i
n
to
t
w
o
o
r
m
o
r
e
s
ep
ar
ate,
s
ep
ar
ated
to
p
o
lo
g
ies
[
3
]
.
Sim
ilar
l
y
s
en
s
o
r
s
g
et
to
b
e
f
izzle
f
o
r
a
f
e
w
r
ea
s
o
n
s
an
d
th
e
s
y
s
te
m
m
a
y
b
r
ea
k
s
in
to
t
w
o
o
r
m
o
r
e
p
ar
titi
o
n
ed
s
e
g
m
en
t
s
s
o
ca
n
s
a
y
t
h
at
w
h
e
n
v
ar
io
u
s
s
e
n
s
o
r
co
m
es
u
p
s
h
o
r
t
s
o
th
e
to
p
o
lo
g
y
ch
an
g
e
s
.
A
h
u
b
m
a
y
f
izzle
b
ec
au
s
e
o
f
a
m
ix
ed
b
ag
o
f
co
n
d
itio
n
s
,
f
o
r
ex
a
m
p
le,
m
ec
h
a
n
ical
o
r
elec
tr
ica
l
is
s
u
es,
ec
o
l
o
g
ical
d
eb
ase
m
en
t,
a
n
d
b
atter
y
d
ec
r
ea
s
e.
T
r
u
th
b
e
to
ld
,
h
u
b
d
i
s
ap
p
o
in
t
m
e
n
t
i
s
r
elied
u
p
o
n
to
b
e
tr
u
l
y
r
e
g
u
lar
ab
n
o
r
m
alit
y
b
ec
au
s
e
o
f
th
e
n
o
r
m
al
l
y
co
n
s
tr
ai
n
ed
v
itali
t
y
s
t
o
ck
p
ilin
g
o
f
t
h
e
h
u
b
s
t
h
at
ar
e
co
n
tr
o
lled
b
y
lit
tle
b
atter
ies.
Dis
ap
p
o
in
t
m
e
n
t
o
f
a
s
et
o
f
h
u
b
s
w
ill
d
ec
r
ea
s
e
t
h
e
q
u
an
t
it
y
o
f
m
u
lt
ih
o
p
w
a
y
s
i
n
t
h
e
s
y
s
te
m
.
S
u
c
h
d
is
ap
p
o
in
t
m
e
n
ts
ca
n
r
esu
lt
i
n
a
s
u
b
s
et
o
f
n
o
d
es
th
a
t
h
a
v
e
n
o
t
f
ailed
to
b
ec
o
m
e
d
is
co
n
n
ec
ted
f
r
o
m
t
h
e
r
est
o
f
th
e
n
et
w
o
r
k
,
r
esu
lt
in
g
in
a
p
ar
titi
o
n
o
f
t
h
e
n
et
w
o
r
k
al
s
o
ca
lled
a
“
cu
t”.
T
w
o
n
o
d
es
ar
e
s
aid
to
b
e
d
is
co
n
n
ec
ted
if
t
h
er
e
is
n
o
p
ath
b
et
w
ee
n
t
h
e
m
.
An
d
As
w
e
k
n
o
w
t
h
at
s
en
s
o
r
s
h
a
s
Dis
co
n
n
ec
t
iv
i
t
y
f
r
o
m
t
h
e
n
et
w
o
r
k
i
s
n
o
r
m
all
y
r
e
f
er
r
ed
as
a
p
ar
titi
o
n
o
f
th
e
n
et
w
o
r
k
o
f
cu
t
i
n
th
e
w
ir
ele
s
s
s
e
n
s
o
r
n
e
t
w
o
r
k
,
w
h
ic
h
ar
is
e
m
a
n
y
p
r
o
b
lem
s
li
k
e
u
n
r
eliab
ili
t
y
,
d
ata
lo
s
s
,
p
er
f
o
r
m
an
ce
d
eg
r
ad
a
tio
n
.
B
ec
au
s
e
o
f
cu
t
s
i
n
w
ir
el
ess
s
en
s
o
r
n
et
w
o
r
k
m
an
y
p
r
o
b
le
m
s
m
a
y
ar
i
s
e
li
k
e
a
w
ir
ed
n
et
w
o
r
k
m
ea
n
s
d
ata
lo
s
s
p
r
o
b
le
m
ar
is
e
s
,
m
ea
n
s
d
ata
r
ea
ch
i
n
a
d
is
co
n
n
ec
ted
r
o
u
te.
3
.
3
.
P
ro
ble
m
s
Due
t
o
Cut
s
As
m
e
n
tio
n
ed
ab
o
v
e
if
an
y
n
o
d
e
b
r
ea
k
s
d
o
w
n
th
e
n
t
h
e
n
et
w
o
r
k
i
s
s
ep
ar
ated
in
to
d
if
f
er
e
n
t
p
ar
ts
s
o
th
e
to
p
o
lo
g
y
o
f
th
e
n
et
w
o
r
k
ch
an
g
es
b
u
t
s
t
ill
n
et
w
o
r
k
w
o
r
k
s
.
B
u
t
b
ec
a
u
s
e
p
ar
titi
o
n
a
f
f
e
cts
r
eliab
ilit
y
,
d
ata
lo
s
s
,
QO
S
o
f
th
e
n
et
w
o
r
k
,
e
f
f
icien
c
y
,
d
ata
p
r
o
ce
s
s
i
n
g
s
p
ee
d
.
B
ec
au
s
e
i
f
a
n
y
d
ata
p
ass
es
u
n
f
o
r
t
u
n
ate
l
y
in
a
w
r
o
n
g
r
o
u
te
s
o
d
ata
lo
s
s
o
cc
u
r
s
th
i
s
also
s
h
o
w
s
u
n
r
eliab
ilit
y
o
f
th
e
n
et
w
o
r
k
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8814
IJ
AA
S
Vo
l.
3
,
No
.
4
,
Dec
em
b
er
201
4
:
20
2
–
20
5
204
4.
S
O
URCE NO
D
E
W
e
co
n
s
id
er
th
e
p
r
o
b
le
m
o
f
d
etec
tin
g
cu
ts
b
y
th
e
n
o
d
es
o
f
a
w
ir
ele
s
s
n
et
w
o
r
k
.
W
e
as
s
u
m
e
th
at
t
h
er
e
is
a
s
p
ec
iall
y
d
esi
g
n
ated
n
o
d
e
in
th
e
n
et
w
o
r
k
,
w
h
ich
w
e
ca
ll
th
e
s
o
u
r
ce
n
o
d
e.
T
h
e
s
o
u
r
ce
n
o
d
e
m
a
y
b
e
a
b
ase
s
tatio
n
th
a
t
s
er
v
es
a
s
a
n
i
n
ter
f
ac
e
b
e
t
w
ee
n
t
h
e
n
et
w
o
r
k
an
d
its
u
s
er
s
.
Si
n
ce
a
c
u
t
m
a
y
o
r
m
a
y
n
o
t
s
ep
ar
ate
a
n
o
d
e
f
r
o
m
th
e
s
o
u
r
ce
n
o
d
e,
we
d
is
tin
g
u
is
h
b
et
w
ee
n
t
w
o
d
is
t
in
ct
o
u
tco
m
es o
f
a
c
u
t
f
o
r
a
p
a
r
ticu
lar
n
o
d
e.
4
.
1
.
Cut
s
in Se
ns
o
r
Net
w
o
rk
s
C
o
n
s
id
er
a
s
et
S
o
f
n
s
en
s
o
r
s
,
w
h
ic
h
ar
e
m
o
d
eled
as
p
o
in
ts
in
t
h
e
t
w
o
-
d
i
m
e
n
s
io
n
al
p
la
n
e.
(
Mo
r
e
g
en
er
all
y
,
w
e
ca
n
as
s
u
m
e
t
h
a
t
th
e
s
e
n
s
o
r
s
lie
o
n
a
s
u
r
f
ac
e
o
r
ter
r
ain
th
at
is
to
p
o
lo
g
icall
y
eq
u
i
v
alen
t
to
th
e
p
lan
e
)
.
A
n
ad
v
er
s
ar
y
ca
n
m
a
k
e
a
li
n
ea
r
c
u
t
th
r
o
u
g
h
t
h
e
s
e
n
s
o
r
n
et
w
o
r
k
,
d
i
s
ab
lin
g
al
l
t
h
e
s
en
s
o
r
s
o
n
o
n
e
s
id
e
o
f
th
e
li
n
e;
t
h
e
b
ase
s
tatio
n
is
ass
u
m
ed
to
l
ie
o
n
t
h
e
o
t
h
er
(
s
af
e)
s
id
e.
Fo
r
m
all
y
,
g
i
v
e
n
a
li
n
e
L
,
let
L
−
a
n
d
L
+
d
en
o
te
th
e
t
w
o
h
al
f
-
p
lan
e
s
d
ef
in
ed
b
y
L
,
a
n
d
let
L
−(
S)
an
d
L
+(
S)
d
en
o
te
th
e
s
u
b
s
e
t o
f
s
en
s
o
r
s
th
at
lie
in
th
e
s
e
h
al
f
-
p
la
n
es.
W
e
w
ill ad
o
p
t t
h
e
co
n
v
en
tio
n
t
h
at
t
h
e
lin
ea
r
c
u
t
in
d
u
ce
d
b
y
L
d
is
ab
les all
t
h
e
s
en
s
o
r
s
i
n
L
−(
S).
A
lter
n
ati
v
el
y
,
th
e
ad
v
er
s
ar
y
c
an
d
is
r
u
p
t
t
h
e
co
m
m
u
n
icatio
n
s
o
th
at
s
e
n
s
o
r
s
o
n
o
n
e
s
id
e
o
f
th
e
li
n
e
ca
n
n
o
t
co
m
m
u
n
ica
te
w
it
h
s
e
n
s
o
r
s
o
n
th
e
o
th
er
s
id
e,
i
n
cl
u
d
in
g
t
h
e
b
ase
s
tati
o
n
.
T
h
ese
t
wo
f
o
r
m
u
latio
n
s
ar
e
eq
u
iv
ale
n
t
f
o
r
o
u
r
p
u
r
p
o
s
e.
T
h
er
e
ar
e
o
th
er
n
atu
r
al
f
o
r
m
s
o
f
cu
ts
,
s
u
ch
a
s
cir
cu
lar
c
u
ts
,
r
ec
tan
g
u
lar
c
u
ts
,
p
o
ly
g
o
n
al
c
u
ts
.
W
e
a
W
e
ca
ll
a
d
ir
ec
t
cu
t
a
"
-
cu
t
i
f
at
a
n
y
r
ate
"
p
ar
t
o
f
th
e
s
en
s
o
r
s
ar
e
cu
t
o
f
f
,
w
h
er
e
0
<
€
<
1
is
a
clien
t
d
eter
m
i
n
ed
p
ar
a
m
eter
.
Ou
r
ess
e
n
tial
co
n
ce
n
tr
ate
i
n
th
is
p
ap
er
is
to
cr
ea
te
a
lo
w
-
o
v
er
h
ea
d
p
lan
f
o
r
id
en
ti
f
y
i
n
g
€
-
c
u
ts
i
n
s
e
n
s
o
r
s
y
s
te
m
s
.
Ou
r
p
lan
f
o
r
id
en
ti
f
y
i
n
g
€
-
cu
t
s
w
i
ll
p
ick
a
litt
le
s
u
b
s
e
t
o
f
s
e
n
s
o
r
s
,
w
h
ic
h
g
o
ab
o
u
t
as
s
en
ti
n
els.
E
v
er
y
s
en
ti
n
el
w
ill co
r
r
esp
o
n
d
w
it
h
t
h
e
b
ase
s
tatio
n
at
a
s
ta
n
d
ar
d
tim
e
i
n
ter
i
m
.
W
e
ex
p
ec
t t
h
at
t
h
e
b
ase
s
tatio
n
is
n
o
t
ass
a
u
lted
,
an
d
it
g
en
er
all
y
lie
s
in
th
e
s
a
f
e
h
al
f
p
lan
e
L
+.
A
co
r
r
esp
o
n
d
en
ce
d
is
ap
p
o
in
t
m
en
t
f
r
o
m
a
s
en
ti
n
el
i
s
tak
en
to
i
m
p
l
y
th
at
th
e
s
en
t
i
n
el
h
as
b
ee
n
c
u
t
o
f
f
.
O
u
r
is
s
u
e
n
o
w
g
et
s
to
b
e:
ca
n
o
n
e
p
ick
a
litt
le
n
u
m
b
er
o
f
s
en
s
o
r
h
u
b
s
as
s
e
n
ti
n
el
s
s
o
th
at
(
1
)
ea
ch
€
-
cu
t
ca
n
b
e
d
is
tin
g
u
i
s
h
ed
b
u
ilt
ex
cl
u
s
iv
el
y
i
n
li
g
h
t
o
f
th
e
li
v
e/d
ea
d
s
tatu
s
o
f
s
e
n
ti
n
el
s
,
a
n
d
(
2
)
th
e
ca
lc
u
latio
n
d
o
es
n
o
t
r
ep
o
r
t
f
a
l
s
e
p
o
s
iti
v
es.
A
s
s
u
m
e
we
d
e
m
o
n
s
tr
ate
a
n
ac
cu
m
u
lat
io
n
o
f
1
0
0
0
s
e
n
s
o
r
h
u
b
s
,
d
is
p
er
s
ed
co
n
s
is
ten
t
l
y
at
ir
r
eg
u
lar
,
an
d
its
s
e
n
ti
n
el
s
et
f
o
r
"
=
0
.
0
5
.
B
ef
o
r
e
p
o
r
tr
ay
in
g
o
u
r
r
esu
lts
,
w
e
f
ir
s
t
q
u
ick
l
y
e
x
a
m
i
n
e
w
h
y
w
e
p
ick
ed
€
-
cu
t
s
as
o
u
r
d
ef
in
itio
n
,
w
h
y
k
ee
p
in
g
a
w
a
y
f
r
o
m
f
alse p
o
s
iti
v
es i
s
test
i
n
g
,
an
d
w
h
y
th
e
id
e
n
ti
f
icatio
n
p
lan
r
eq
u
ir
es a
n
e
s
ti
m
ate
s
lac
k
.
4
.
2
.
€
-
Cut
s
T
h
e
€
-
cu
ts
ar
e
p
er
s
u
ad
ed
b
o
th
b
y
d
o
w
n
to
ea
r
th
a
n
d
h
y
p
o
th
etica
l
co
n
ce
r
n
s
.
I
t
b
o
d
es
w
e
ll
f
o
r
tr
ea
t
d
is
ap
p
o
in
t
m
e
n
ts
as
cr
itical
j
u
s
t
w
h
e
n
a
s
m
all
a
m
o
u
n
t
o
f
th
e
s
y
s
te
m
i
s
cu
t.
I
t
m
i
g
h
t
b
e
en
ticin
g
to
r
eq
u
est
p
lan
s
t
h
at
d
is
co
v
er
d
is
ap
p
o
in
t
m
en
t
o
f
a
s
ett
led
(
clien
t
d
eter
m
i
n
ed
)
n
u
m
b
er
o
f
s
e
n
s
o
r
s
,
p
a
y
in
g
li
ttle
h
ee
d
to
th
e
s
y
s
te
m
s
ize.
I
n
an
y
ca
s
e,
n
o
ef
f
ec
ti
v
e
a
n
d
v
er
s
atile
ar
r
an
g
e
m
e
n
t
is
h
y
p
o
th
etica
ll
y
c
o
n
ce
iv
ab
le
f
o
r
th
i
s
s
itu
a
tio
n
,
as
t
h
e
ac
co
m
p
an
y
i
n
g
s
tr
ai
g
h
t
f
o
r
w
ar
d
illu
s
tr
atio
n
s
h
o
w
s
.
E
n
v
i
s
io
n
n
s
e
n
s
o
r
s
o
r
ch
estra
ted
ar
o
u
n
d
,
an
d
ass
u
m
e
w
e
n
ee
d
to
lo
ca
te
cu
ts
o
f
s
ize
m
.
A
t
th
a
t
p
o
in
t,
n
o
less
th
a
n
o
n
e
s
en
s
o
r
f
o
r
ea
ch
m
s
eq
u
e
n
tial
s
en
s
o
r
s
m
u
s
t b
e
p
ick
ed
as a
s
e
n
ti
n
el,
w
h
ic
h
s
ca
les cr
u
d
el
y
with
t
h
e
s
y
s
te
m
s
ize.
4
.
3
.
F
a
ls
e
P
o
s
it
iv
es
B
y
c
h
ec
k
in
g
s
u
f
f
icie
n
tl
y
a
lo
t
o
f
p
eo
p
le
ar
b
itra
r
ily
p
ick
ed
s
en
s
o
r
s
,
o
n
e
ca
n
id
en
t
if
y
all
€
-
cu
ts
w
i
t
h
h
ig
h
l
ik
el
ih
o
o
d
.
Fo
r
ex
a
m
p
le,
an
ar
b
itra
r
y
s
p
ec
i
m
en
o
f
s
ize
O(
1
/€
lo
g
1
/
δ
€
)
is
s
u
f
f
ic
ie
n
t
to
g
e
t
an
y
"
-
c
u
t
w
it
h
li
k
eli
h
o
o
d
n
o
less
t
h
an
1
–
δ
[
2
1
]
,
[
2
2
]
.
T
h
e
ca
lcu
latio
n
b
asicall
y
p
r
o
clai
m
s
a
€
-
cu
t
at
w
h
atev
er
p
o
in
t
n
o
less
t
h
an
o
n
e
o
f
t
h
e
p
ick
ed
s
en
s
o
r
s
f
alls
f
lat.
L
a
m
e
n
tab
l
y
,
th
i
s
b
asic
p
lan
ex
p
er
ien
ce
s
th
e
f
a
ls
e
p
o
s
itiv
e
s
is
s
u
e
.
Nu
m
er
o
u
s
c
u
ts
r
ep
o
r
ted
b
y
th
i
s
ca
lcu
la
tio
n
,
n
o
n
et
h
eles
s
,
ar
e
f
alse
p
o
s
it
iv
e
s
,
w
h
er
e
t
h
e
m
ea
s
u
r
e
o
f
th
e
f
izzle
d
s
y
s
te
m
ca
n
b
e
s
elf
-
a
s
s
er
ti
v
el
y
litt
ler
th
a
n
€
n
.
T
o
b
e
s
u
r
e,
if
o
n
e
o
f
t
h
e
ir
r
e
g
u
lar
e
x
a
m
p
les
h
ap
p
en
s
to
lie
o
n
t
h
e
li
m
it
o
f
th
e
s
e
n
s
o
r
f
ield
,
t
h
e
n
i
t
ca
n
r
esu
lt
i
n
a
ca
u
t
io
n
r
e
g
ar
d
less
o
f
t
h
e
f
ac
t
th
a
t
a
s
o
litar
y
s
en
s
o
r
is
c
u
t
o
f
f
.
A
m
o
r
e
ad
v
a
n
ce
d
m
a
n
i
f
estatio
n
o
f
in
s
p
ec
ti
n
g
ca
n
ad
eq
u
atel
y
d
is
p
en
s
e
w
it
h
f
al
s
e
p
o
s
itiv
e
s
,
y
et
at
th
e
co
s
t
o
f
a
n
ex
p
an
s
iv
e
n
u
m
b
er
o
f
s
en
t
in
el
s
.
Sp
ec
if
ical
l
y
,
t
h
e
id
ea
o
f
€
-
r
o
u
g
h
g
u
es
s
ca
n
b
e
u
tili
ze
d
t
o
r
ec
o
g
n
ize
all
cu
ts
b
ig
g
er
t
h
an
€
n
an
d
t
h
o
s
e
litt
l
er
th
an
,
s
a
y
,
1
/2
€
n
.
Ho
w
e
v
er
a
€
-
clo
s
e
esti
m
atio
n
r
eq
u
ir
es
£
(
1
/€
2
lo
g
1
δ
)
s
en
ti
n
el
h
u
b
s
.
A
s
tr
ai
g
h
t
f
o
r
w
ar
d
co
m
p
u
tatio
n
,
in
c
lu
d
i
n
g
t
h
e
r
ea
l
co
n
s
ta
n
ts
i
n
cl
u
d
ed
,
n
o
n
et
h
ele
s
s
,
d
em
o
n
s
tr
ate
s
t
h
at
ac
t
u
all
y
f
o
r
u
n
o
b
tr
u
s
i
v
e
esti
m
atio
n
s
o
f
€
=
0
.
1
an
d
δ
=
0
.
0
5
,
th
e
s
p
an
o
f
th
e
s
en
tin
el
s
et
i
s
n
o
less
t
h
an
1
0
,
0
0
0
!
Hen
ce
,
ar
b
itra
r
y
in
s
p
ec
ti
n
g
b
ased
p
lan
s
ar
e
in
f
ea
s
ib
le,
b
ec
au
s
e
o
f
f
al
s
e
p
o
s
iti
v
es
o
r
b
ec
au
s
e
o
f
u
n
s
alab
le
s
u
b
s
tan
ti
al
s
ize
.
L
e
m
m
a
:
I
n
a
g
a
m
e
p
la
n
o
f
n
lin
e
s
in
t
h
e
p
lan
e,
th
er
e
is
d
ep
en
d
ab
ly
a
lev
el
o
f
s
ize
at
m
o
s
t
6
n
b
et
w
ee
n
t
h
e
lev
e
ls
5
/6
€
n
a
n
d
€
n
.
E
s
s
e
n
tiall
y
,
t
h
er
e
is
d
ep
e
n
d
ab
l
y
a
le
v
el
o
f
s
ize
at
m
o
s
t
4
n
b
et
w
ee
n
le
v
el
s
C
o
n
f
ir
m
a
tio
n
:
T
h
e
ag
g
r
e
g
ate
m
an
y
-
s
id
ed
q
u
alit
y
o
f
t
h
e
f
i
r
s
t
€
n
le
v
els
i
s
at
g
en
er
all
y
€
n
2
.
P
lain
l
y
,
t
h
is
i
s
lik
e
w
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s
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ith
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h
e
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ca
s
e
as
w
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Fig
u
r
e
1
.
T
h
e
I
n
ter
s
ec
tio
n
o
f
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h
e
h
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5.
N
E
T
WO
RK
SE
P
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RA
T
I
O
N
Failu
r
e
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et
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es
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ce
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er
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ath
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et
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c
h
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ailu
r
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n
ca
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s
e
a
s
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b
s
e
t
o
f
n
o
d
es
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e
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iled
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to
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m
e
d
is
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n
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ec
ted
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t
h
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est,
r
esu
lt
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g
in
a
“
c
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t”.
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au
s
e
o
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o
m
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y
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ated
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th
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ata
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t
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o
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o
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6.
CO
NCLU
SI
O
N
I
n
th
i
s
ar
ticle
w
e
d
is
c
u
s
s
W
S
N
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ts
a
n
d
ex
i
s
ti
n
g
c
u
t
d
etec
tio
n
s
c
h
e
m
e
s
i
n
W
SN.
W
ir
eless
Se
n
s
o
r
Net
w
o
r
k
s
(
W
SNs
)
o
f
ten
s
u
f
f
e
r
f
r
o
m
d
is
r
u
p
ted
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n
n
ec
t
iv
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t
y
ca
u
s
ed
b
y
its
n
u
m
er
o
u
s
asp
e
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s
u
c
h
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s
li
m
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ted
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atter
y
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o
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o
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a
n
o
d
e
an
d
u
n
atten
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ed
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er
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l
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er
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ter
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.
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n
d
th
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g
co
n
n
ec
ti
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o
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ten
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e
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er
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as
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et
w
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k
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u
t
s
o
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et
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m
e
s
.
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n
t
h
is
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e
s
t
u
d
ied
s
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al
s
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h
e
m
es
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f
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et
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n
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tat
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g
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h
at
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t
s
i
n
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N
ar
e
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ig
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le
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n
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ce
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e
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et
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ts
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n
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th
e
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est
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e
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n
d
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ased
o
n
o
u
r
s
t
u
d
ies
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n
d
r
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ie
w
s
,
n
o
u
s
e
f
u
l
a
n
d
ef
f
icie
n
t
cu
t
d
etec
tio
n
s
c
h
e
m
e
h
as
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ee
n
p
r
o
p
o
s
ed
an
d
i
m
p
le
m
e
n
ted
s
o
f
ar
.
.
RE
F
E
R
E
NC
E
S
[1
]
G
.
Din
i,
e
t
a
l.
,
“
A
n
a
lg
o
rit
h
m
fo
r
re
c
o
n
n
e
c
ti
n
g
w
irele
ss
se
n
so
r
n
e
tw
o
rk
p
a
rti
ti
o
n
s,”
I
n
Eu
ro
p
e
a
n
Co
n
fer
e
n
c
e
o
n
W
ire
les
s S
e
n
so
r Ne
two
rk
s
,
2
0
0
8
,
p
p
.
2
5
3
–
2
6
7
.
[2
]
N.
S
h
riv
a
sta
v
a
,
e
t
a
l.
,
“
De
tec
ti
n
g
c
u
ts
in
se
n
s
o
r
n
e
tw
o
rk
s,”
ACM
T
ra
n
s.
S
e
n
.
Ne
wt.
,
2
0
0
8
,
V
o
l.
4
,
No
.
2
,
p
p
.
1
–
25
.
[3
]
H.
Rit
ter,
e
t
a
l.
,
“
A
p
a
rti
ti
o
n
d
e
tec
ti
o
n
sy
ste
m
f
o
r
m
o
b
il
e
a
d
-
h
o
c
n
e
tw
o
rk
s,
”
I
n
Fi
rs
t
An
n
u
a
l
IEE
E
Co
mm
u
n
ica
ti
o
n
s
S
o
c
iety
Co
n
fer
e
n
c
e
o
n
S
e
n
so
r
a
n
d
Ad
Ho
c
Co
mm
u
n
ica
ti
o
n
s a
n
d
N
e
two
rk
s
(
IEE
E
S
ECON
2
0
0
4
)
,
2
0
0
4
,
p
p
.
4
8
9
-
4
9
7
.
[4
]
M
.
Ha
u
sp
ie,
e
t
a
l
.
,
“
P
a
rti
ti
o
n
d
e
tec
ti
o
n
i
n
m
o
b
il
e
a
d
-
h
o
c
n
e
tw
o
rk
s,”
in
2
n
d
M
e
d
it
e
rr
a
n
e
a
n
W
o
rk
sh
o
p
o
n
Ad
-
Ho
c
Ne
two
rk
s
,
2
0
0
3
,
p
p
.
2
5
–
2
7
.
[5
]
P
.
Ba
ro
o
a
h
,
“
Distrib
u
te
d
c
u
t
d
e
te
c
ti
o
n
i
n
s
e
n
so
r
n
e
tw
o
rk
s,”
I
n
4
7
t
h
IEE
E
Co
n
fer
e
n
c
e
o
n
De
c
isio
n
a
n
d
Co
n
tro
l
,
2
0
0
8
,
p
p
.
1
0
9
7
–
1
1
0
2
.
[6
]
A
.
D.
W
o
o
d
,
e
t
a
l.
,
“
Ja
m
:
A
j
a
m
m
e
d
-
a
re
a
m
a
p
p
in
g
se
rv
ice
f
o
r
se
n
so
r
n
e
tw
o
rk
s,”
I
n
IEE
E
R
e
a
l
T
ime
S
y
ste
m
S
y
mp
o
si
u
m
,
2
0
0
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.