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:
Data
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Hig
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Mo
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SN
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8
Ma
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6
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1
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5
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I
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d
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i
d
1.
I
NT
RO
D
UCT
I
O
N
On
e
o
f
th
e
e
m
er
g
in
g
tech
n
o
lo
g
ies
th
at
co
n
tin
u
o
u
s
ly
im
p
r
o
v
ed
o
n
th
e
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ter
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et
o
f
th
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g
s
(
I
o
T
)
a
n
d
m
ac
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in
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to
m
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co
m
m
u
n
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n
i
n
wir
eless
s
en
s
o
r
n
etwo
r
k
(
W
SN)
[
1
]
.
W
SN
E
n
v
ir
o
n
m
en
t
is
a
co
llectio
n
o
f
n
o
d
es
co
m
p
o
s
ed
o
f
s
en
s
o
r
s
,
ac
tu
ato
r
s
,
p
r
o
ce
s
s
in
g
d
ev
ic
es,
an
d
co
m
m
u
n
icati
o
n
d
e
v
ices
o
n
ea
ch
node
[2
]
,
[
3]
.
I
n
th
is
p
o
i
n
t
o
f
v
iew
b
illi
o
n
o
f
s
en
s
o
r
s
,
ac
tu
at
o
r
s
,
an
d
ev
e
r
y
d
a
y
o
b
jects
th
at
co
n
n
ec
ted
in
t
o
th
e
in
ter
n
et
ex
c
h
an
g
e
d
ata
b
etwe
en
th
em
a
n
d
o
th
er
n
o
d
es,
clo
u
d
,
o
r
an
o
th
er
m
ac
h
in
e
[
4
]
.
T
h
eir
in
ter
ac
tio
n
h
as
s
ev
er
al
p
u
r
p
o
s
es,
o
n
e
o
f
th
e
p
u
r
p
o
s
e
is
h
o
w
to
m
in
im
ize
h
u
m
an
in
ter
v
e
n
tio
n
[
5
]
.
T
h
ese
i
n
ter
ac
tio
n
ac
tiv
ities
s
u
ch
as
s
en
s
in
g
,
m
ea
s
u
r
in
g
,
p
r
o
ce
s
s
in
g
,
o
r
g
an
izin
g
,
an
d
o
p
t
im
izin
g
an
d
h
o
w
to
c
o
n
tr
o
l/o
p
er
ate/m
o
n
ito
r
th
eir
en
v
ir
o
n
m
en
t
[
6
]
.
B
ased
o
n
W
SN
ac
tiv
iti
es,
i
t
co
u
ld
b
e
m
ad
e
m
an
y
d
ata
tr
an
s
ac
tio
n
s
b
etw
ee
n
n
o
d
es
an
d
o
th
er
n
o
d
es,
b
r
o
k
er
,
o
r
/a
n
d
clo
u
d
[
7
]
.
T
h
e
am
o
u
n
t
o
f
W
SN
n
o
d
es
as
n
ee
d
ed
ca
n
r
ea
ch
h
u
n
d
r
ed
s
to
th
o
u
s
an
d
s
o
f
n
o
d
es.
I
t
is
ca
u
s
ed
th
at
d
ata
p
r
o
d
u
ce
s
in
a
h
ig
h
am
o
u
n
t
o
f
d
ata
to
o
[
8
]
.
So
it
is
p
o
s
s
i
b
le
o
cc
u
r
s
th
e
d
ata
ac
cu
m
u
latio
n
is
lar
g
e
th
at
af
f
ec
ts
f
ailu
r
e
in
th
e
p
r
o
ce
s
s
o
f
s
e
n
d
in
g
d
ata
to
o
th
e
r
n
o
d
es a
n
d
s
av
in
g
d
ata
in
to
th
e
d
atab
ase.
I
n
th
is
ca
s
e,
th
e
d
ata
d
eliv
er
y
p
r
o
to
c
o
l a
n
d
d
atab
ase
is
v
er
y
in
f
lu
e
n
tial o
n
th
e
s
u
c
ce
s
s
in
s
en
d
in
g
an
d
s
to
r
in
g
d
ata.
T
h
er
ef
o
r
e
a
s
tu
d
y
is
n
ee
d
ed
t
o
m
ea
s
u
r
e
W
SN'
s
p
er
f
o
r
m
an
ce
in
s
en
d
in
g
a
n
d
s
to
r
in
g
d
ata,
th
at
p
r
o
d
u
ce
f
ea
s
ib
le
W
SN d
ev
ice
ar
ch
itectu
r
e
o
v
er
h
ig
h
lo
a
d
d
at
a.
I
n
a
v
er
y
lar
g
e
n
u
m
b
er
o
f
n
o
d
es,
n
o
d
es
in
W
SN
ca
n
p
r
o
d
u
ce
v
er
y
lar
g
e
d
ata
as
well
[
9
]
.
I
n
o
th
er
ca
s
es,
th
e
p
r
o
ce
s
s
o
f
s
en
s
in
g
an
d
m
o
n
ito
r
in
g
in
a
s
y
s
tem
is
d
em
an
d
ed
i
n
r
ea
l
-
tim
e.
T
h
er
ef
o
r
e
th
e
d
ata
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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:
1
6
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-
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3
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T
E
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KOM
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T
elec
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m
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n
C
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p
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t E
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tr
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,
Vo
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u
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g
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will
b
e
v
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y
lar
g
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i
n
a
s
h
o
r
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tim
e
[
1
0
]
.
On
e
o
f
t
h
e
m
an
y
co
m
m
u
n
icatio
n
p
r
o
t
o
co
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av
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eso
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m
ess
ag
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q
u
er
y
te
lem
etr
y
p
r
o
t
o
co
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(
MQ
T
T
)
[
1
1
]
,
[
1
2
]
.
MQ
T
T
is
a
d
ata
-
ce
n
tr
ic
co
m
m
u
n
icatio
n
p
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o
to
co
l
ty
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at
u
tili
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s
a
p
u
b
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-
s
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b
s
cr
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m
ec
h
an
is
m
u
s
in
g
th
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T
C
P/IP
p
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to
co
l
as
th
e
b
ac
k
g
r
o
u
n
d
o
f
its
co
m
m
u
n
icatio
n
[
1
3
]
.
T
h
e
MQ
T
T
p
r
o
to
co
l,
wh
ich
is
o
p
e
n
a
n
d
lig
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in
p
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b
lis
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/s
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b
s
cr
ib
e
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o
to
co
l
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ath
e
r
th
an
h
y
p
er
tex
t
tr
an
s
f
er
p
r
o
t
o
c
o
l
(
HT
T
P
)
[
1
4
]
.
MQ
T
T
is
s
p
ec
if
ically
d
esig
n
ed
to
b
e
a
m
ac
h
in
e
-
to
-
m
ac
h
in
e
an
d
m
o
b
ile
ap
p
licatio
n
.
B
ec
au
s
e
th
e
h
ig
h
lo
a
d
d
ata
p
r
o
d
u
ce
d
b
y
s
en
s
o
r
n
o
d
es
is
v
er
y
lar
g
e
it
is
n
o
t
r
ec
o
m
m
en
d
ed
u
s
in
g
th
e
HT
T
P
p
r
o
to
co
l.
I
n
an
o
th
er
ar
ea
,
th
e
MQ
T
T
p
r
o
ce
s
s
in
g
s
y
s
tem
n
ee
d
s
litt
le
r
eso
u
r
ce
s
th
an
HT
T
P
[
1
5
]
.
MQ
T
T
co
u
l
d
p
r
o
d
u
ce
an
d
p
r
o
ce
s
s
ed
less
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ized
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ata
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tr
u
ctu
r
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s
o
t
h
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s
ize
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th
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k
ets
s
en
t
f
r
o
m
MQ
T
T
co
u
ld
b
e
r
ed
u
ce
d
[
1
6
]
.
So
u
s
in
g
MQ
T
T
is
m
o
r
e
s
u
itab
le
th
an
th
e
o
th
er
co
m
m
u
n
icatio
n
p
r
o
to
co
l
on
W
SN.
W
ith
s
o
m
an
y
n
o
d
es
in
W
SN,
th
e
I
o
T
co
n
ce
p
t
f
u
lly
e
x
p
l
o
its
th
e
ec
o
n
o
m
ic
m
o
d
el
o
f
f
e
r
ed
b
y
th
e
latest
tech
n
o
lo
g
y
f
r
o
m
clo
u
d
co
m
p
u
tin
g
,
to
im
p
r
o
v
e
th
e
q
u
ality
o
f
s
er
v
ices
d
eliv
er
ed
to
u
s
er
s
an
d
h
elp
th
em
f
ac
ilit
ate
p
r
o
b
lem
-
s
o
lv
in
g
[
1
7
]
an
d
lo
w
p
o
wer
co
n
s
u
m
p
ti
o
n
[
1
8
]
.
Ho
wev
er
,
r
elate
d
I
o
T
s
er
v
ices
r
eq
u
ir
e
lar
g
e
-
s
ca
le
d
ata
co
llectio
n
th
at
r
esu
lts
f
r
o
m
th
e
lar
g
e
n
u
m
b
er
o
f
s
en
s
o
r
s
u
s
in
g
a
s
p
ec
ial
g
atew
ay
an
d
s
to
r
ed
in
a
d
atab
ase
s
y
s
tem
s
o
th
at
a
lar
g
e
am
o
u
n
t
o
f
d
ata
will
b
e
a
p
r
o
b
lem
in
s
en
d
in
g
an
d
s
to
r
in
g
d
a
ta.
T
o
o
v
er
co
m
e
th
is
p
r
o
b
lem
,
d
atab
ase
tech
n
o
lo
g
y
with
t
h
e
co
n
ce
p
t
o
f
No
t
On
ly
SQL
(
No
SQL)
h
as
b
ee
n
d
ev
elo
p
ed
s
u
ch
as
HB
ase,
C
o
u
ch
DB
,
Mo
n
g
o
DB
,
an
d
C
ass
an
d
r
a
[
1
9
]
.
M
o
n
g
o
DB
is
a
d
o
cu
m
en
t
-
o
r
ien
ted
d
atab
ase
s
y
s
tem
th
at
u
s
es
th
e
C
++
p
r
o
g
r
am
m
in
g
la
n
g
u
ag
e
[
2
0
]
.
D
ata
o
b
jects
g
en
er
ated
b
y
th
e
s
en
s
o
r
will
b
e
s
to
r
ed
in
th
e
f
o
r
m
o
f
B
SON
d
ata.
I
n
M
o
n
g
o
DB
is
d
if
f
er
en
t
f
r
o
m
th
e
SQL
c
o
n
ce
p
t
th
at
h
as
s
ev
er
al
ch
ar
ac
ter
is
tics
s
u
ch
as,
ev
e
r
y
s
in
g
le
d
ata
o
b
ject
is
s
to
r
e
d
in
a
s
ep
ar
ate
d
o
cu
m
e
n
t,
d
ata
s
to
r
ag
e
is
a
g
r
ap
h
.
I
n
Mo
n
g
o
DB
Data
o
b
jects
d
o
n
o
t
h
av
e
th
e
s
am
e
tab
le
o
r
co
lu
m
n
s
tr
u
ctu
r
e,
s
o
th
e
s
to
r
ag
e
p
r
o
ce
s
s
in
Mo
n
g
o
DB
i
s
ea
s
ier
an
d
m
o
r
e
ef
f
ec
tiv
e
f
o
r
d
ata
s
to
r
ag
e
b
ec
au
s
e
it
is
m
o
r
e
f
lex
ib
le
[
2
1
]
.
Mo
n
g
o
DB
is
u
s
ed
b
ec
au
s
e
it
ca
n
ac
co
m
m
o
d
ate
s
tr
u
ctu
r
e
d
,
s
em
i
-
s
tr
u
ctu
r
ed
,
an
d
u
n
s
tr
u
ctu
r
ed
d
ata
ef
f
icien
tly
o
n
a
la
r
g
e
s
ca
le
(
b
ig
d
ata/c
lo
u
d
)
.
So
Mo
n
g
o
DB
is
v
er
y
s
u
itab
le
f
o
r
s
to
r
in
g
a
lar
g
e
a
m
o
u
n
t
o
f
d
ata
an
d
th
e
d
ata
with
a
d
if
f
er
en
t
s
tr
u
ctu
r
e.
B
ec
au
s
e
o
f
th
e
W
SN
im
p
lem
en
tatio
n
,
th
e
d
ata
s
tr
u
c
tu
r
e
o
f
ea
c
h
n
o
d
e
ca
n
b
e
d
if
f
er
en
t.
T
o
m
ea
s
u
r
e
h
o
w
f
ea
s
ib
le
th
e
W
SN
ar
ch
itectu
r
e,
r
eq
u
ir
ed
test
in
g
p
r
o
ce
s
s
b
ased
o
n
d
ata
lo
ad
th
at
ca
lled
lo
ad
test
in
g
s
ce
n
ar
io
.
L
o
ad
test
in
g
s
ce
n
ar
io
is
th
e
p
r
o
ce
s
s
o
f
r
u
n
n
in
g
an
a
p
p
licati
o
n
b
y
im
itatin
g
a
n
ac
tu
al
u
s
er
with
th
e
b
u
r
d
en
o
f
s
en
d
in
g
lar
g
e
am
o
u
n
ts
o
f
d
ata
[
2
2
]
.
B
ec
au
s
e
s
en
d
in
g
lar
g
e
am
o
u
n
ts
o
f
d
ata
ca
u
s
ed
a
b
o
ttlen
ec
k
o
n
th
e
s
y
s
tem
.
T
h
e
m
ain
p
u
r
p
o
s
e
o
f
th
is
lo
ad
test
in
g
s
ce
n
ar
io
is
to
m
ea
s
u
r
e
s
ca
lab
ilit
y
,
av
ailab
ilit
y
,
an
d
p
er
f
o
r
m
a
n
ce
asp
ec
t
f
r
o
m
h
ar
d
wa
r
e
an
d
s
o
f
t
war
e
u
s
ed
o
n
th
e
W
SN
ar
ch
itectu
r
e
u
s
ed
[
2
3
]
.
I
n
th
e
d
ata
s
en
s
in
g
en
v
i
r
o
n
m
e
n
t i
n
a
n
o
d
e,
th
e
s
en
s
o
r
o
n
ly
r
ea
d
s
th
e
d
ata
an
d
th
e
n
s
en
t to
th
e
b
r
o
k
er
an
d
t
h
en
th
e
b
r
o
k
er
s
en
t
in
to
s
u
b
s
cr
ib
er
wh
ich
is
r
ep
r
esen
t
th
e
clo
u
d
/
d
atab
ase.
T
h
e
s
en
s
o
r
r
ea
d
s
r
ea
l
-
tim
e
d
ata
ab
o
u
t
en
v
ir
o
n
m
en
tal
co
n
d
itio
n
s
b
u
t
d
o
es
n
o
t
ch
an
g
e
o
r
d
elete
s
to
r
ed
d
ata.
An
o
th
er
th
in
g
th
at
ca
u
s
es
p
r
o
b
lem
s
is
th
e
p
r
o
ce
s
s
o
f
s
en
d
i
n
g
d
ata,
s
o
it
wo
u
ld
b
e
o
n
ly
to
p
er
f
o
r
m
th
e
in
s
er
t
q
u
er
y
.
Data
g
e
n
er
ated
b
y
W
SN
n
o
d
es
m
u
s
t
n
o
t
b
e
lo
s
t,
in
th
e
s
en
s
e
th
at
t
h
e
d
ata
g
en
er
ated
b
y
s
en
s
o
r
s
ev
en
th
o
u
g
h
th
er
e
ar
e
p
r
o
b
le
m
s
o
n
th
e
n
etwo
r
k
m
u
s
t
n
o
t
b
e
lo
s
t.
T
h
e
d
ata
wi
ll
b
e
ac
cu
m
u
lated
an
d
s
en
t
to
th
e
s
en
s
o
r
n
o
d
e
s
o
th
at
th
e
s
tack
o
f
d
ata
at
th
e
s
en
s
o
r
n
o
d
e
will b
e
s
en
t a
n
d
q
u
er
y
th
at
is
ex
ec
u
ted
in
lar
g
e
n
u
m
b
er
s
.
I
n
th
is
r
esear
ch
,
d
ata
f
r
o
m
t
h
e
s
en
s
o
r
n
o
d
e
will
b
e
p
r
o
d
u
ce
d
in
s
u
c
h
a
way
as
to
r
e
p
r
esen
t
th
e
p
r
o
ce
s
s
o
f
co
llectin
g
lar
g
e
a
m
o
u
n
ts
o
f
d
ata.
L
ar
g
e
a
m
o
u
n
ts
o
f
d
ata
ar
e
g
e
n
er
ated
f
r
o
m
s
ev
er
al
s
en
s
o
r
n
o
d
es/p
u
b
lis
h
er
s
an
d
th
e
n
s
en
t
to
b
r
o
k
er
s
with
th
e
MQ
T
T
p
r
o
t
o
co
l.
Af
ter
th
at,
th
e
d
ata
f
r
o
m
th
e
b
r
o
k
er
s
en
t
to
th
e
en
d
n
o
d
e/su
b
s
cr
ib
er
.
M
o
n
g
o
DB
in
s
talled
o
n
s
u
b
s
cr
ib
er
s
o
in
s
er
t
q
u
e
r
y
ex
ec
u
ted
b
y
s
u
b
s
cr
ib
er
.
Fr
o
m
h
er
e
th
e
f
ea
s
ib
ilit
y
an
aly
s
is
o
f
th
e
W
SN
ar
ch
itectu
r
e
ca
n
b
e
d
o
n
e
b
y
u
s
in
g
MQ
T
T
an
d
Mo
n
g
o
DB
f
o
r
a
lar
g
e
am
o
u
n
t
o
f
d
ata
c
o
u
ld
b
e
m
ea
s
u
r
ed
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
T
h
e
r
esear
ch
th
at
an
al
y
ze
s
d
atab
ase
in
s
er
t p
er
f
o
r
m
a
n
ce
u
s
in
g
W
SN o
v
er
h
ig
h
d
ata
l
o
ad
is
:
th
e
f
ir
s
t is
m
an
ag
in
g
I
o
T
d
ata
u
s
in
g
J
av
aScr
ip
t
o
b
ject
n
o
tatio
n
(
J
SON
)
[
2
4
]
,
th
is
r
esear
ch
m
ea
s
u
r
e
in
s
er
t
p
er
f
o
r
m
an
ce
in
to
th
e
J
SON
tab
le,
b
u
t
n
o
t
in
Mo
n
g
o
DB
.
T
h
e
f
ir
s
t
r
esear
ch
r
esu
lt
is
in
s
er
tin
g
5
0
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0
0
0
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r
o
w
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to
th
e
J
SON
tab
le
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1
0
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u
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to
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lts
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ar
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3
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h
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o
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d
r
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r
ch
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u
r
e
d
atab
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an
ag
em
en
t
s
y
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tem
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DB
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p
er
f
o
r
m
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ce
in
Ma
r
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an
d
J
S
ON
f
ile
s
[
2
5
]
.
T
h
e
r
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lt
o
f
in
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t
d
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f
o
r
2
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1
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an
d
f
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r
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4
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3
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s
.
T
h
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th
ir
d
r
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ch
co
m
p
ar
es
HB
ase
an
d
C
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d
r
a
[
2
6
]
,
t
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r
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t
h
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d
r
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r
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So
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th
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r
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to
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r
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h
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en
d
in
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d
ata
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n
to
Mo
n
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DB
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s
in
g
a
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1171
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at
th
at
is
f
o
r
m
atted
b
y
b
r
o
k
e
r
.
T
h
e
d
ata
th
at
was
f
o
r
m
atted
wo
u
ld
b
e
in
s
er
t
ed
in
to
Mo
n
g
o
DB
.
T
h
is
r
esear
ch
will
b
e
co
n
d
u
cte
d
b
y
d
esig
n
in
g
in
p
u
t,
p
r
o
ce
s
s
,
an
d
o
u
t
p
u
t
.
I
n
p
u
t o
n
clien
t
/
s
u
b
s
cr
ib
er
is
d
o
n
e
b
y
No
d
eM
C
U.
No
d
eM
C
U
u
s
ed
n
o
t
o
n
ly
c
o
u
ld
p
r
o
ce
s
s
d
ata
but
also
s
en
d
d
ata
at
o
n
ce
p
r
o
ce
s
s
[
2
7
]
.
I
n
th
is
s
tu
d
y
,
th
e
clien
t
is
n
o
t
d
ir
ec
t
ly
s
en
s
in
g
d
ata,
d
ata
is
m
a
d
e
in
th
e
f
o
r
m
o
f
r
a
n
d
o
m
d
at
a
b
ased
o
n
s
en
s
o
r
r
ep
r
esen
tatio
n
.
On
e
o
f
No
d
eM
C
U
ty
p
e
f
o
r
p
r
o
to
ty
p
in
g
is
E
S
P8
2
6
6
[
2
8
]
,
[
2
9
]
.
T
h
en
th
e
d
ata
o
b
tain
ed
f
r
o
m
p
u
b
lis
h
er
will
b
e
s
en
t
to
MQ
T
T
b
r
o
k
e
r
th
at
u
s
es
m
o
s
q
u
ito
t
h
en
s
en
t
to
p
u
b
lis
h
er
/h
o
s
t
l
o
ca
ted
o
n
th
e
PC
.
Mo
s
q
u
ito
is
u
s
ed
b
ec
au
s
e
it
d
o
es
n
o
t
n
ee
d
ad
d
itio
n
al
p
r
o
g
r
am
s
to
b
e
m
a
d
e
an
d
d
o
es
n
o
t
r
eq
u
ir
e
s
p
ec
ial
o
p
er
atio
n
s
[
3
0
]
.
T
h
e
b
r
o
k
er
o
n
l
y
h
o
l
d
s
d
ata
f
r
o
m
th
e
p
u
b
lis
h
er
an
d
is
co
m
p
iled
to
b
e
s
en
t to
th
e
s
u
b
s
cr
ib
er
.
T
h
e
b
lo
ck
d
iag
r
am
o
f
t
h
is
r
esear
ch
ca
n
b
e
s
ee
n
in
Fig
u
r
e
1
.
T
h
e
f
lo
wch
ar
t
o
f
W
SN
ar
ch
itectu
r
e
d
esig
n
in
Fig
u
r
e
1
is
illu
s
tr
ated
i
n
m
o
r
e
d
etail
in
Fig
u
r
e
2
.
T
h
e
p
r
o
ce
s
s
s
tar
ts
f
r
o
m
th
e
p
u
b
li
s
h
er
n
o
d
e
r
e
p
r
esen
tin
g
th
e
s
e
n
s
o
r
to
ac
q
u
ir
e
d
ata
b
y
g
e
n
e
r
atin
g
r
an
d
o
m
d
ata
ac
co
r
d
in
g
to
s
en
s
o
r
d
ata,
f
o
r
ex
am
p
le,
te
m
p
er
atu
r
e
a
n
d
/o
r
h
u
m
id
ity
d
ata.
T
o
an
aly
ze
wi
th
lar
g
e
am
o
u
n
ts
o
f
d
ata,
p
u
b
lis
h
e
r
p
er
f
o
r
m
s
r
an
d
o
m
d
ata
g
en
er
atio
n
with
th
e
s
tack
p
r
o
ce
s
s
.
So
th
e
d
ata
g
en
e
r
ated
ac
cu
m
u
lates
in
lar
g
e
n
u
m
b
er
s
with
th
e
s
p
ec
if
i
ed
len
g
th
.
Fig
u
r
e
1
.
W
SN
ar
ch
itectu
r
e
b
l
o
ck
d
iag
r
am
St
a
r
t
L
e
n
g
t
h
=
n
-
G
e
n
e
r
a
t
i
n
g
s
t
a
c
k
d
a
t
a
-
C
o
u
n
t
i
n
g
d
a
t
a
l
e
n
g
t
h
Se
n
d
d
a
t
a
t
o
b
r
o
ke
r
I
n
s
e
r
t
q
u
e
r
y
d
a
t
a
s
t
a
c
k
E
n
d
T
r
u
e
Fa
l
s
e
Fig
u
r
e
2
.
Sy
s
tem
f
lo
wc
h
ar
t d
e
s
ig
n
Af
ter
th
e
d
ata
is
co
llected
ac
c
o
r
d
in
g
to
th
e
s
p
ec
if
ied
N
-
d
ata
,
th
e
d
ata
will
b
e
s
en
t
b
y
th
e
e
n
tire
n
o
d
e
to
th
e
b
r
o
k
e
r
.
T
h
en
th
e
d
ata
f
r
o
m
th
e
b
r
o
k
er
will
b
e
p
r
o
ce
s
s
ed
with
a
q
u
er
y
w
h
ich
is
th
e
n
en
ter
ed
in
to
th
e
p
u
b
lis
h
er
th
at
is
in
s
talled
b
y
Mo
n
g
o
DB
.
So
th
at
all
d
ata
f
r
o
m
th
e
s
en
s
o
r
n
o
d
e
will
s
im
u
l
tan
eo
u
s
ly
b
e
en
ter
ed
I
n
p
u
t
M
Q
T
T
–
P
u
b
l
i
s
h
e
r
/
C
l
i
e
n
t
N
o
d
e
M
C
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N
o
d
e
M
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o
d
e
M
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M
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p
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s
c
r
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b
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M
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T
T
M
o
n
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o
D
B
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
Vo
l.
1
9
,
No
.
4
,
Au
g
u
s
t
2
0
2
1
:
11
69
-
1
1
7
6
1172
in
to
th
e
Mo
n
g
o
DB
q
u
er
y
.
Fro
m
th
is
,
it
ca
n
b
e
ju
s
tifie
d
th
e
f
ea
s
ib
ilit
y
o
f
Mo
n
g
o
DB
in
r
ec
eiv
in
g
q
u
e
r
ies
in
a
v
er
y
lar
g
e
n
u
m
b
er
o
f
d
ata
r
o
ws.
Qu
er
ies
o
n
Mo
n
g
o
DB
ar
e
tex
tu
al
b
ased
s
o
th
at
d
ata
is
r
ep
r
esen
ted
in
th
e
f
o
r
m
o
f
r
o
ws o
f
d
ata
n
o
t th
e
s
i
ze
o
f
th
e
d
ata.
B
ased
o
n
th
e
f
lo
wch
a
r
t
d
esig
n
in
Fig
u
r
e
2
,
th
e
o
v
er
all
s
y
s
tem
d
esig
n
is
as f
o
llo
ws
;
−
Desig
n
in
g
MQ
T
T
clien
t/p
u
b
li
s
h
er
C
lien
t/
s
u
b
s
cr
ib
er
s
o
f
twar
e
h
as
f
u
n
ctio
n
al
n
ee
d
s
,
wh
ich
a
r
e
r
elate
d
to
co
n
d
u
ctin
g
r
an
d
o
m
d
ata
g
ath
er
in
g
an
d
cr
ea
tin
g
a
d
ata
s
tack
.
MQ
T
T
p
u
b
lis
h
er
is
m
ad
e
in
C
o
n
Ar
d
u
i
n
o
with
Ar
d
u
i
n
o
I
DE
.
T
h
e
lib
r
ar
y
u
s
ed
is
th
e
MQ
T
T
clien
t
lib
r
ar
y
to
cr
ea
te
a
d
ata
s
tack
p
r
o
ce
s
s
to
th
e
p
r
o
ce
s
s
o
f
s
en
d
in
g
d
ata
to
th
e
b
r
o
k
e
r
.
Data
s
en
t
to
b
r
o
k
er
s
in
th
e
J
SON
d
ata
f
o
r
m
at.
W
h
en
th
e
in
itial
r
u
n
,
th
e
p
u
b
lis
h
er
will
d
o
th
e
d
is
co
v
er
y
p
r
o
ce
s
s
s
o
th
at
th
e
p
u
b
lis
h
er
c
an
b
e
r
ec
o
g
n
ized
b
y
th
e
b
r
o
k
e
r
.
Af
ter
th
e
p
u
b
lis
h
er
is
co
n
n
e
cted
to
th
e
b
r
o
k
er
,
th
en
th
e
n
ew
p
u
b
lis
h
er
will
g
en
er
ate
r
an
d
o
m
an
d
d
ata
s
tack
.
Af
ter
th
at,
th
e
d
ata
cr
ea
ted
will
b
e
s
en
t
to
th
e
b
r
o
k
er
.
−
Desig
n
in
g
MQ
T
T
b
r
o
k
er
MQ
T
T
b
r
o
k
er
d
esig
n
ed
th
at
co
v
er
s
o
f
twar
e
f
u
n
ctio
n
al
r
eq
u
ir
em
en
t
f
o
r
wr
itin
g
an
d
co
m
p
ilin
g
p
r
o
g
r
a
m
s
.
MQ
T
T
b
r
o
k
er
p
r
o
g
r
am
m
ed
b
y
Ph
y
t
o
n
an
d
th
e
lib
r
ar
y
u
s
ed
is
Py
Mo
n
g
o
wh
i
ch
en
ab
lin
g
Ph
y
to
n
an
d
Mo
n
g
o
DB
co
m
m
u
n
icatio
n
f
u
n
ctio
n
.
MQ
T
T
b
r
o
k
er
s
tar
ted
f
r
o
m
c
o
n
n
ec
tin
g
b
r
o
k
er
wi
th
s
u
b
s
cr
ib
er
u
s
in
g
MQ
T
T
.
W
h
en
th
e
p
r
o
g
r
am
is
co
n
n
ec
ted
,
it wo
u
ld
b
e
s
en
t d
a
ta
s
tack
ed
f
r
o
m
p
u
b
lis
h
er
.
−
Desig
n
in
g
Mo
n
g
o
DB
/
s
u
b
s
cr
ib
er
Mo
n
g
o
DB
u
s
es
d
if
f
er
en
t
n
a
m
es
with
th
e
SQL
d
atab
ase
s
y
s
tem
.
T
ab
les
in
Mo
n
g
o
DB
ar
e
ca
lled
co
llectio
n
s
,
lin
es
in
M
o
n
g
o
DB
ar
e
ca
lled
d
o
cu
m
e
n
ts
,
co
lu
m
n
s
in
Mo
n
g
o
DB
ar
e
ca
lled
Field
s
,
an
d
co
m
b
in
atio
n
s
o
f
Mo
n
g
o
DB
ar
e
ca
lled
E
m
b
ed
d
in
g
&
L
in
k
i
n
g
.
Mo
n
g
o
DB
E
R
D
f
o
r
d
a
tab
ase
d
esig
n
is
s
h
o
wn
in
Fig
u
r
e
3
,
t
h
er
e
is
a
d
atab
a
s
e
n
am
ed
"Sen
s
o
r
Data
"
an
d
h
as
a
co
llectio
n
o
f
"No
d
eDa
ta",
"Ar
d
u
in
o
T
im
es",
an
d
"T
im
es".
"No
d
eDa
ta"
co
n
tain
s
in
f
o
r
m
atio
n
ab
o
u
t
s
en
s
o
r
r
ea
d
in
g
d
ata.
"Ar
d
u
in
o
T
im
es"
h
as
in
f
o
r
m
atio
n
ab
o
u
t
t
h
e
r
ec
o
r
d
in
g
tim
e,
wh
en
th
e
s
tack
p
r
o
g
r
a
m
in
s
id
e
th
e
b
r
o
k
er
r
u
n
s
.
"T
im
es"
h
as
in
f
o
r
m
atio
n
ab
o
u
t
r
ec
o
r
d
in
g
th
e
tim
e
wh
e
n
d
ata
s
en
t b
y
MQ
T
T
-
b
r
o
k
er
h
as b
ee
n
s
tack
ed
in
to
th
e
d
atab
ase.
−
I
m
p
lem
en
tatio
n
T
h
e
MQ
T
T
b
lo
c
k
d
iag
r
am
a
s
s
h
o
wn
in
Fig
u
r
e
1
c
o
n
s
is
ts
o
f
th
e
p
u
b
lis
h
er
,
b
r
o
k
er
,
a
n
d
MQ
T
T
s
u
b
s
cr
ib
er
.
T
h
e
f
l
o
wch
ar
t
th
u
s
ex
p
lain
s
h
o
w
ea
ch
c
o
m
p
o
n
en
t
o
f
th
e
MQ
T
T
wo
r
k
s
.
First,
th
e
b
r
o
k
er
p
r
o
g
r
a
m
is
tu
r
n
ed
o
n
as
a
m
ed
iato
r
o
f
th
e
d
is
co
v
er
y
p
r
o
ce
s
s
,
b
ef
o
r
e
r
u
n
n
in
g
th
e
p
u
b
lis
h
er
an
d
cu
s
to
m
er
p
r
o
g
r
am
f
o
r
d
ata
tr
an
s
m
is
s
io
n
.
MQ
T
T
-
Pu
b
lis
h
er
p
u
b
lis
h
es d
ata
to
th
e
b
r
o
k
er
,
b
u
t th
e
p
u
b
lis
h
er
d
o
es n
o
t
s
to
r
e
an
y
d
ata
b
u
t
o
n
ly
en
s
u
r
es
th
e
co
m
m
u
n
icatio
n
p
r
o
ce
s
s
is
r
u
n
n
in
g
.
Af
ter
d
o
n
e
ac
tiv
atin
g
p
u
b
lis
h
er
to
d
o
th
e
d
is
co
v
er
y
p
r
o
ce
s
s
with
th
e
b
r
o
k
er
.
T
h
is
d
is
co
v
er
y
p
r
o
ce
s
s
is
th
e
p
r
o
ce
s
s
o
f
f
in
d
in
g
a
b
r
o
k
er
to
b
e
a
b
le
to
co
m
m
u
n
icate
well.
Af
ter
all,
p
u
b
lis
h
er
s
d
o
a
d
is
co
v
er
y
,
t
h
ey
ca
n
d
o
th
e
p
r
o
ce
s
s
o
f
s
en
d
in
g
d
ata.
Fig
u
r
e
3
.
Data
s
tack
o
n
p
u
b
lis
h
er
3.
RE
SU
L
T
S
A
ND
AN
AL
Y
SI
S
R
esu
lts
th
at
h
av
e
b
ee
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o
b
tain
ed
af
ter
im
p
lem
en
tatio
n
o
f
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e
MQ
T
T
clien
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u
b
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er
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ar
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war
e,
th
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im
p
lem
en
tatio
n
c
o
n
s
is
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f
a
No
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eM
C
U
r
an
d
o
m
-
g
en
e
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ate
d
d
ata
in
p
u
t
m
o
d
u
le
c
o
n
n
ec
ted
to
th
e
b
r
o
k
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MQ
T
T
-
b
r
o
k
e
r
r
u
n
s
th
r
o
u
g
h
th
e
co
m
m
an
d
p
r
o
m
p
t a
s
a
d
ata
t
r
an
s
m
is
s
io
n
m
ed
ia
b
r
o
k
er
.
Dat
a
s
en
t b
y
p
u
b
lis
h
er
will
b
e
s
to
r
ed
u
p
to
N
-
d
ata
f
o
llo
win
g
th
e
p
r
o
g
r
am
th
at
h
as
b
ee
n
d
esig
n
e
d
.
As
s
h
o
w
n
in
Fig
u
r
e
3
,
th
e
"
r
ec
o
n
n
ec
t
"
r
ec
o
r
d
s
h
o
ws
th
at
th
e
b
r
o
k
er
is
in
th
e
p
r
o
ce
s
s
o
f
co
n
n
ec
tin
g
to
th
e
MQ
T
T
s
y
s
tem
,
"
s
u
b
s
cr
ib
ed
"
s
h
o
ws th
e
n
u
m
b
e
r
o
f
N
o
d
eM
C
U/
p
u
b
lis
h
er
s
th
at
ar
e
s
u
b
s
cr
ib
ed
to
th
e
b
r
o
k
er
.
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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L
KOM
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elec
o
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u
n
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Da
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Mo
ch
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Ha
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1173
Fig
u
r
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3
ex
p
lan
atio
n
s
a
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e,
n
u
m
b
er
"z
e
r
o
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af
ter
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icate
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p
r
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l
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S
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Af
ter
th
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ex
t
lin
e
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m
b
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s
2
3
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6
as
d
ata
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at
h
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ee
n
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b
y
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e
p
u
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lis
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er
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d
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eiv
ed
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y
MQ
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b
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k
er
.
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ca
n
b
e
s
h
o
wn
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h
at
th
e
b
r
o
k
er
c
an
r
ec
eiv
e
th
e
d
ata
s
tack
p
r
o
p
er
ly
.
F
o
r
th
e
test
in
g
p
r
o
ce
s
s
,
1
n
o
d
e
will
g
e
n
er
ate
r
an
d
o
m
d
ata
f
r
o
m
5
0
to
1
5
0
0
d
ata
lin
es.
I
t
is
esti
m
ated
th
at
th
e
p
r
o
ce
s
s
o
f
4
n
o
d
es will b
e
ca
r
r
ied
o
u
t
b
y
p
r
o
d
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cin
g
6
0
0
0
d
ata
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o
ws.
T
h
e
test
h
as
be
en
d
iv
id
ed
in
t
o
th
r
ee
s
tag
es
to
d
eter
m
in
e
th
e
f
ea
s
ib
ilit
y
o
f
th
e
ar
ch
itectu
r
e
th
at
h
as
b
ee
n
d
esig
n
ed
.
T
h
e
f
ir
s
t
test
is
to
d
eter
m
in
e
wh
eth
er
th
e
p
u
b
lis
h
er
ca
n
b
e
r
ec
o
g
n
ized
b
y
th
e
b
r
o
k
er
.
T
h
e
s
ec
o
n
d
test
is
s
en
d
in
g
d
ata
f
r
o
m
p
u
b
lis
h
er
t
o
b
r
o
k
e
r
.
T
h
e
t
h
ir
d
test
is
test
in
g
th
e
in
s
er
t
q
u
er
y
f
r
o
m
b
r
o
k
er
to
Mo
n
g
o
DB
/
s
u
b
s
cr
i
b
er
.
I
n
th
is
s
ec
tio
n
,
it
is
ex
p
lain
ed
th
e
r
esu
lts
o
f
th
e
r
esear
ch
an
d
at
th
e
s
am
e
tim
e
wa
s
g
iv
en
a
co
m
p
r
eh
en
s
iv
e
d
is
cu
s
s
io
n
.
R
esu
lts
ca
n
b
e
p
r
esen
ted
in
f
ig
u
r
es,
g
r
ap
h
s
,
tab
les
,
a
n
d
o
th
e
r
s
th
at
m
ak
e
th
e
r
ea
d
er
u
n
d
e
r
s
tan
d
s
ea
s
ily
[2
]
,
[
5]
.
T
h
e
d
is
cu
s
s
io
n
c
an
b
e
m
ad
e
in
s
ev
er
al
s
u
b
-
ch
ap
ter
s
.
3
.
1
.
Dis
co
v
er
y
t
esting
f
ro
m
pu
bli
s
her
t
o
bro
k
er
T
h
e
f
ir
s
t
test
ca
r
r
ied
o
u
t
was
test
in
g
th
e
co
n
n
ec
tiv
ity
b
etwe
en
p
u
b
lis
h
er
an
d
b
r
o
k
e
r
.
T
h
is
test
i
s
ca
r
r
ied
o
u
t
t
o
test
wh
eth
er
t
h
e
p
u
b
lis
h
er
ca
n
co
n
n
ec
t
to
th
e
b
r
o
k
er
at
a
ce
r
tain
d
is
tan
ce
.
T
h
e
d
is
tan
ce
is
ca
lcu
lated
wh
en
th
e
p
u
b
lis
h
er
b
r
o
ad
ca
s
ts
to
f
in
d
th
e
b
r
o
k
er
,
th
e
n
af
ter
th
e
b
r
o
k
er
r
ec
e
iv
es
th
e
b
r
o
ad
ca
s
t
m
ess
ag
e
h
e
will r
etu
r
n
th
e
p
ac
k
ag
e
r
elate
d
to
th
e
p
u
b
lis
h
er
'
s
r
ec
o
g
n
itio
n
.
T
ab
le
1
s
h
o
ws th
at
4
p
u
b
lis
h
er
o
n
e
b
y
o
n
e
test
ed
f
r
o
m
1
to
4
n
o
d
es.
E
ac
h
test
is
ca
r
r
ied
o
u
t
1
0
tim
es,
th
en
th
e
av
er
a
g
e
is
d
is
p
lay
e
d
in
th
e
ta
b
le.
T
h
e
test
tak
es
in
t
o
ac
co
u
n
t
th
e
d
is
tan
ce
f
o
r
d
is
co
v
er
y
f
r
o
m
8
,
1
2
,
1
6
,
a
n
d
2
0
m
eter
s
.
At
8
to
1
6
m
eter
s
ca
n
s
till
b
e
co
n
n
ec
ted
ev
en
th
o
u
g
h
r
elativ
ely
lo
n
g
(
u
p
to
m
o
r
e
th
an
3
s
ec
o
n
d
s
)
b
u
t
ca
n
s
till
b
e
co
n
n
ec
ted
.
W
h
en
at
2
0
m
eter
s
,
th
e
en
tire
n
o
d
e
ca
n
n
o
t
b
e
co
n
n
ec
t
ed
to
th
e
b
r
o
k
e
r
.
So
th
at
with
m
an
y
n
o
d
es,
p
u
b
lis
h
er
an
d
b
r
o
k
e
r
with
No
d
eM
C
U
ca
n
b
e
co
n
n
ec
ted
with
a
m
ax
im
u
m
d
is
tan
ce
o
f
1
6
m
eter
s
.
T
ab
le
1
.
Av
e
r
ag
e
d
is
co
v
e
r
y
te
s
tin
g
s
ce
n
ar
io
D
e
l
a
y
8
M
e
t
r
e
(
S
e
c
o
n
d
)
1
2
M
e
t
r
e
(
S
e
c
o
n
d
)
1
6
M
e
t
r
e
(
S
e
c
o
n
d
)
2
0
M
e
t
r
e
(
S
e
c
o
n
d
)
1
n
o
d
e
0.
0
2
3
4
2.
0
1
5
6
2.
0
1
7
3
F
a
i
l
2
n
o
d
e
0.
2
5
2
1
2.
1
2
1
4
2.
0
0
2
1
F
a
i
l
3
n
o
d
e
0.
2
9
7
6
2.
8
7
3
5
2.
0
0
0
3
F
a
i
l
4
n
o
d
e
0.
4
6
5
2
3.
1
9
4
7
3.
3
2
2
9
F
a
i
l
3
.
2
.
Da
t
a
deliv
er
y
t
esting
f
r
o
m
pu
bli
s
her
t
o
bro
k
er
T
h
is
f
ir
s
t
test
is
th
e
d
is
co
v
er
y
p
r
o
to
co
l
p
r
o
ce
s
s
,
b
y
ac
tiv
at
in
g
th
e
b
r
o
k
er
f
ir
s
t.
W
h
en
th
e
b
r
o
k
er
is
ac
tiv
e,
th
en
No
d
eM
C
U/
p
u
b
lis
h
er
is
ac
tiv
ated
.
W
h
en
p
u
b
li
s
h
er
is
ac
tiv
ated
,
it
will
im
m
ed
iately
co
n
d
u
ct
a
b
r
o
k
er
s
ea
r
ch
b
y
p
u
b
lis
h
/s
u
b
s
cr
ib
e
ac
co
r
d
i
n
g
to
t
h
e
M
QT
T
p
r
o
to
c
o
l.
T
h
is
s
tag
e
is
th
e
in
itial
s
tag
e
to
d
eter
m
in
e
th
e
s
u
cc
ess
o
f
th
e
o
v
er
all
r
esear
ch
.
I
n
itial
test
in
g
is
d
o
n
e
b
y
ca
lc
u
latin
g
th
e
d
is
tan
ce
o
f
d
elay
in
s
en
d
in
g
d
ata
b
etwe
en
p
u
b
l
is
h
er
an
d
b
r
o
k
er
af
te
r
it
is
co
n
n
ec
ted
.
T
h
e
o
v
er
all
r
esu
lts
o
f
th
e
test
ar
e
s
u
m
m
ar
ized
in
Fig
u
r
e
4
.
W
h
er
e
"
test
in
g
numbe
r
"
1
-
9
is
f
o
r
s
en
d
i
n
g
wi
th
1
n
o
d
e
,
1
0
-
1
8
f
o
r
s
en
d
in
g
f
r
o
m
2
n
o
d
es,
1
9
-
2
7
f
o
r
3
n
o
d
es,
an
d
2
8
-
3
6
f
o
r
4
n
o
d
es.
E
ac
h
n
o
d
e
s
en
d
s
5
0
-
1
5
0
0
d
ata
r
o
ws
o
f
d
ata
in
ea
ch
t
est
p
r
o
ce
s
s
.
Fro
m
th
is
test
s
ce
n
ar
io
we
g
et
th
at
all
s
h
ip
m
en
ts
with
5
0
d
ata
lin
es
g
et
a
d
elay
o
f
2
.
9
6
s
ec
o
n
d
s
,
a
n
d
a
m
a
x
im
u
m
d
elay
o
f
1
2
3
.
9
9
8
2
f
o
r
th
e
am
o
u
n
t
o
f
d
ata
1
5
0
0
p
er
n
o
d
e
(
6
0
0
0
d
ata
f
o
r
4
n
o
d
es).
Sen
d
in
g
d
at
a
o
b
tain
e
d
a
s
tab
le
in
cr
ea
s
e
o
f
1
to
4
n
o
d
es
ea
ch
,
s
en
d
in
g
f
r
o
m
5
0
to
6
0
0
0
d
ata
r
o
ws.
Fig
u
r
e
4
.
Dis
co
v
er
y
test
in
g
r
e
s
u
lt
3.
3
.
M
o
ng
o
DB
ins
er
t
da
t
a
t
e
s
t
ing
s
ce
na
rio
I
n
th
e
s
ec
o
n
d
test
,
th
e
m
ea
s
u
r
em
en
t
o
f
th
e
s
u
cc
ess
o
f
th
e
b
r
o
k
e
r
is
to
in
p
u
t
th
e
d
ata
q
u
er
y
to
Mo
n
g
o
DB
.
T
h
is
test
is
d
iv
id
e
d
in
to
two
p
r
o
ce
s
s
es,
th
e
f
ir
s
t
p
r
o
ce
s
s
is
to
in
p
u
t
q
u
e
r
y
d
at
a
with
th
e
d
atab
ase
p
r
o
v
id
e
d
.
T
h
e
s
ec
o
n
d
p
r
o
ce
s
s
is
th
e
in
p
u
t
d
ata
q
u
e
r
y
with
o
u
t
an
y
d
ata
b
ase
p
r
o
v
id
e
d
.
T
h
i
s
test
in
g
p
r
o
ce
s
s
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6
9
3
0
T
E
L
KOM
NI
KA
T
elec
o
m
m
u
n
C
o
m
p
u
t E
l Co
n
tr
o
l
,
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l.
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,
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4
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g
u
s
t
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1
:
11
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1174
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r
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ied
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t
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t
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e
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ata
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en
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r
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n
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en
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o
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it
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ata
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en
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r
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u
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er
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Sam
e
as
th
e
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s
ec
tio
n
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2
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er
all
r
esu
lts
o
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th
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ar
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u
m
m
ar
ized
in
Fig
u
r
e
5
.
W
h
er
e
"
test
in
g
n
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m
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er
"
1
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9
is
tes
tin
g
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en
d
in
g
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o
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e,
1
0
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o
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en
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es,
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en
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g
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ac
h
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e
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en
d
s
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ata
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0
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d
ata
r
o
w
e
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er
y
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s
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o
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o
f
f
o
u
r
n
o
d
es sen
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n
g
d
ata
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o
g
eth
er
to
tal
d
ata
is
6
0
0
0
d
ata
r
o
w.
I
n
Fig
u
r
e
5
t
h
is
test
in
g
with
o
u
t
d
atab
ase
p
r
o
v
i
d
ed
,
it
ca
n
b
e
co
n
clu
d
e
d
th
at
in
s
er
t
q
u
er
y
r
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ir
es
u
n
s
tab
le
tim
e,
b
u
t
in
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ea
s
es
with
th
e
n
u
m
b
er
o
f
r
o
ws
th
at
ar
e
in
p
u
t.
W
ith
o
u
t
d
atab
ase
d
elay
th
e
m
in
im
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m
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es
ar
e
0
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0
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5
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ec
o
n
d
s
an
d
t
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e
m
ax
im
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m
tim
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ar
e
0
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4
4
3
s
ec
o
n
d
s
in
th
e
in
s
er
t
q
u
er
y
p
r
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ce
s
s
.
Fu
r
th
er
m
o
r
e,
in
F
ig
u
r
e
6
.
r
elate
d
to
test
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g
with
th
e
d
atab
ase
p
r
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id
e
d
,
it
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n
b
e
co
n
clu
d
ed
th
at
in
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er
t
q
u
er
y
r
eq
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i
r
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u
n
s
tab
le
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e,
b
u
t
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ea
s
es
with
th
e
n
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m
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e
r
o
f
r
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ws
th
at
ar
e
in
p
u
t.
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ith
d
atab
ase
d
elay
t
h
e
m
in
im
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m
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es
ar
e
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0
0
6
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ec
o
n
d
s
an
d
th
e
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ax
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r
e
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1
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4
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ec
o
n
d
s
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th
e
in
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er
t q
u
er
y
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r
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ce
s
s
.
B
ased
o
n
Fig
u
r
e
5
an
d
Fig
u
r
e
6
,
test
in
g
b
y
p
r
o
v
i
d
in
g
a
d
atab
ase
an
d
with
o
u
t
a
d
atab
a
s
e
h
as
an
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ag
e
f
o
r
with
o
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t
d
ata
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ase
test
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o
f
0
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2
1
0
9
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n
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an
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h
e
d
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is
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6
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n
d
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ap
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a
u
s
e
if
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ase,
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ll
m
ak
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atab
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tio
n
p
r
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ce
s
s
f
ir
s
t w
h
en
th
e
d
ata
is
s
en
t b
y
th
e
b
r
o
k
er
.
Fig
u
r
e
5
.
Pu
b
lis
h
er
to
b
r
o
k
er
test
in
g
with
o
u
t e
x
is
tin
g
d
atab
ase
r
esu
lt
Fig
u
r
e
6
.
B
r
o
k
er
to
M
o
n
g
o
DB
with
ex
is
tin
g
d
atab
ase
r
esu
lt
4.
CO
NCLU
SI
O
N
AND
F
U
T
U
RE
WO
RK
S
T
h
e
W
SN
ar
ch
itectu
r
e
d
esig
n
u
s
in
g
th
e
Mo
n
g
o
DB
d
atab
as
e
s
y
s
tem
o
n
th
e
MQ
T
T
p
r
o
t
o
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l
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n
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e
d
esig
n
ed
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y
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eter
m
in
in
g
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a
t
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e
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e
MQ
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m
p
o
n
e
n
t
f
ir
s
t.
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o
m
p
o
n
en
ts
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th
e
MQ
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T
p
r
o
to
c
o
l
ar
e
MQ
T
T
-
p
u
b
lis
h
er
,
MQ
T
T
-
s
u
b
s
cr
ib
er
,
an
d
MQ
T
T
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b
r
o
k
er
.
MQ
T
T
-
s
u
b
s
cr
ib
er
u
s
es
a
No
d
eM
C
U
m
icr
o
co
n
tr
o
ller
to
s
en
d
d
ata
to
th
e
b
r
o
k
er
,
MQ
T
T
-
b
r
o
k
er
d
esig
n
ed
with
Mo
s
q
u
itto
s
o
f
twar
e,
MQ
T
T
-
s
u
b
s
cr
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u
s
es
th
e
Mo
n
g
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DB
No
SQL
d
atab
ase
s
y
s
tem
wh
er
e
it
f
u
n
ctio
n
s
as
a
r
ec
eiv
er
an
d
s
to
r
ag
e
s
en
s
o
r
th
at
is
tr
an
s
m
itted
b
y
I
o
T
d
ata
d
e
v
ices.
T
h
is
r
e
s
ea
r
ch
p
r
o
d
u
ce
d
r
esu
lts
th
at
p
r
o
v
e
Mo
n
g
o
DB
in
s
er
t
p
er
f
o
r
m
a
n
ce
o
v
er
h
ig
h
d
ata
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ad
s
u
cc
ess
f
u
lly
d
o
n
e
.
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ased
o
n
liter
atu
r
e
p
r
o
v
id
ed
o
n
o
v
er
6
0
0
0
d
ata
r
o
ws
as
J
SON
p
er
f
o
r
m
ed
o
n
1
.
0
8
m
illi
s
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o
n
d
s
an
d
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r
iaDB
p
er
f
o
r
m
e
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o
n
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4
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illi
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s
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ase
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n
4
1
2
m
illi
s
ec
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d
s
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d
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ass
an
d
r
a
1
1
7
2
m
illi
s
ec
o
n
d
o
n
ly
o
n
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el
o
w
1
2
0
0
d
ata.
M
o
n
g
o
DB
h
as a
b
etter
r
esu
lt p
r
o
d
u
ce
d
0
.
4
3
m
illi
s
ec
o
n
d
o
v
er
6
0
0
0
d
ata
r
o
ws
.
T
h
e
d
is
co
v
er
y
p
r
o
ce
s
s
was
v
er
y
g
o
o
d
u
p
to
1
6
m
eter
s
,
b
u
t
th
e
No
d
eM
C
U
d
e
v
ice
was
u
n
ab
le
to
b
r
o
ad
ca
s
t
at
a
d
is
tan
ce
o
f
2
0
m
eter
s
.
T
h
e
n
ex
t
test
r
esu
lt
is
th
e
p
r
o
ce
s
s
o
f
s
to
r
in
g
d
ata
in
t
o
Mo
n
g
o
DB
ca
r
r
ied
o
u
t
th
r
o
u
g
h
th
e
MQ
T
T
p
r
o
to
co
l.
MQ
T
T
-
b
r
o
k
er
ca
n
s
en
d
5
0
to
6
0
0
0
d
ata
r
o
ws.
T
h
e
d
a
ta
s
to
r
ag
e
s
p
ee
d
f
o
r
s
to
r
in
g
all
d
ata
in
to
an
em
p
ty
d
atab
ase
tak
es
les
s
th
an
0
.
5
s
ec
o
n
d
s
,
wh
ile
f
o
r
an
ex
is
tin
g
d
atab
ase
it
tak
es
les
s
th
an
0
.
2
s
ec
o
n
d
s
.
B
ased
o
n
test
in
g
th
at
h
as
b
ee
n
d
o
n
e
it
ca
n
b
e
co
n
clu
d
e
d
th
at
all
co
m
p
o
n
e
n
ts
ca
n
wo
r
k
well.
p
u
b
lis
h
er
s
ca
n
g
en
er
ate
d
ata
as
a
r
ep
r
esen
tatio
n
o
f
s
en
s
o
r
d
ata,
th
en
b
r
o
k
er
s
ca
n
also
r
e
ce
iv
e
all
d
ata
s
en
t
f
r
o
m
t
h
e
p
u
b
lis
h
er
to
6
0
0
0
d
at
a
r
o
ws.
Mo
n
g
o
DB
'
s
p
er
f
o
r
m
a
n
ce
is
also
v
er
y
g
o
o
d
,
o
v
er
all
f
o
r
6
0
0
0
d
ata
r
o
ws,
it
tak
es
u
n
d
e
r
1
s
ec
o
n
d
to
p
r
o
ce
s
s
th
e
s
en
s
o
r
d
ata
q
u
er
y
o
v
er
h
ig
h
d
ata
l
o
ad
.
So
,
t
h
e
MQ
T
T
-
s
u
b
s
cr
ib
er
,
b
r
o
k
er
,
a
n
d
p
u
b
lis
h
er
th
at
ar
e
d
esig
n
ed
o
n
t
h
is
r
esear
ch
ar
e
s
u
itab
le
an
d
ac
ce
p
tab
le
u
s
in
g
t
h
is
ar
ch
itectu
r
e
an
d
d
esig
n
.
Fo
r
f
u
tu
r
e
wo
r
k
,
th
e
r
e
ar
e
m
an
y
o
p
p
o
r
tu
n
ities
to
d
e
v
elo
p
th
is
wo
r
k
,
s
o
m
e
o
f
th
e
d
ir
e
ctio
n
s
ar
e:
1
)
u
s
in
g
th
e
MQ
T
T
Pro
t
o
co
l
f
r
o
m
Qo
S
0
to
2
f
o
r
test
in
g
a
n
d
im
p
lem
en
tatio
n
to
g
et
h
i
g
h
er
ac
cu
r
ac
y
v
alu
es;
2
)
u
s
in
g
p
ar
am
eter
s
o
th
er
th
a
n
L
o
a
d
T
esti
n
g
f
o
r
th
e
f
u
r
th
er
test
in
g
d
e
p
th
o
f
test
in
g
its
d
a
tab
ase
s
y
s
tem
,
s
u
ch
as
th
e
s
tr
ess
test
in
g
d
atab
ase
;
3
)
u
s
in
g
Mo
n
g
o
DB
im
p
lem
en
ted
in
th
e
f
o
r
m
o
f
a
s
h
ad
e
d
cl
u
s
ter
f
o
r
m
ax
im
u
m
p
er
f
o
r
m
an
ce
r
esu
l
ts
,
o
r
im
p
le
m
en
tin
g
it
o
n
a
clu
s
ter
c
o
m
p
u
ter
;
4
)
u
s
in
g
s
y
n
ch
r
o
n
ized
tim
e
s
en
d
in
g
d
ata
f
r
o
m
th
e
No
d
eM
C
U
m
icr
o
co
n
tr
o
lle
r
to
MQ
T
T
to
av
o
i
d
d
ata
p
ac
k
et
co
llis
io
n
s
o
r
d
is
p
o
s
al
o
f
d
ata
p
ac
k
ag
es;
an
d
5
)
p
er
f
o
r
m
i
n
g
th
e
s
am
e
test
i
n
th
e
s
am
e
en
v
ir
o
n
m
e
n
t
b
u
t
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s
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g
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o
th
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g
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Hb
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ch
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r
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u
lts
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d
co
m
p
a
r
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f
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r
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est DB
.
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d
itio
n
s
.
RE
F
E
R
E
NC
E
S
[1
]
V.
Re
d
d
y
a
n
d
G
.
P
.
,
"
I
n
teg
ra
ti
o
n
o
f
i
n
tern
e
t
o
f
t
h
i
n
g
s
wi
th
wir
e
les
s
se
n
so
r
n
e
two
r
k
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
in
e
e
rin
g
(IJ
ECE
),
v
o
l.
9
,
n
o
.
1
,
p
p
.
4
3
9
~
4
4
4
,
2
0
1
9
,
d
o
i:
1
0
.
1
1
5
9
1
/i
je
c
e
.
v
9
i1
.
p
p
4
3
9
-
4
4
4
.
[2
]
A.
R.
Ja
lad
i,
K.
K
h
it
h
a
n
i,
P
.
P
a
wa
r,
K.
M
a
lv
i
a
n
d
G
.
S
a
h
o
o
,
"
E
n
v
ir
o
n
m
e
n
tal
M
o
n
it
o
rin
g
Us
i
n
g
Wi
re
les
s
S
e
n
so
r
Ne
two
rk
s(
WS
N)
b
a
se
d
o
n
IOT,
"
In
ter
n
a
t
io
n
a
l
Res
e
a
rc
h
J
o
u
rn
a
l
o
f
En
g
in
e
e
rin
g
a
n
d
T
e
c
h
n
o
lo
g
y
(IR
J
ET
),
v
o
l.
4
,
n
o
.
1
,
p
p
.
1
3
7
1
-
1
3
7
8
,
2
0
1
7
.
[3
]
P
.
M
.
M
a
h
a
jan
,
"
WS
N:
In
fra
stru
c
tu
re
a
n
d
Ap
p
li
c
a
ti
o
n
s,"
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
S
c
ien
ti
fi
c
Res
e
a
rc
h
in
Ne
two
rk
S
e
c
u
rity a
n
d
C
o
mm
u
n
ica
ti
o
n
(IJ
S
RNS
C),
v
o
l
.
6
,
n
o
.
1
,
p
p
.
6
-
1
0
,
2
0
1
8
.
[4
]
L.
Atz
o
ri,
A.
Ie
ra
a
n
d
G
.
M
o
ra
b
i
to
,
"
Un
d
e
rsta
n
d
i
n
g
th
e
I
n
tern
e
t
o
f
Th
i
n
g
s:
d
e
fi
n
it
i
o
n
,
p
o
ten
ti
a
ls,
a
n
d
s
o
c
ieta
l
ro
l
e
o
f
a
fa
st
e
v
o
lv
i
n
g
p
a
ra
d
i
g
m
,
"
El
se
v
ier
:
Ad
Ho
c
Ne
tw
o
rk
s,
v
o
l
.
5
6
,
n
o
.
1
,
p
p
.
1
2
2
-
1
4
0
,
2
0
1
7
,
d
o
i:
1
0
.
1
0
1
6
/j
.
a
d
h
o
c
.
2
0
1
6
.
1
2
.
0
0
4
.
[5
]
T.
Iss
a
c
,
S
.
S
il
a
s
a
n
d
E.
B.
Ra
jsin
g
h
,
"
In
v
e
stig
a
ti
o
n
s
o
n
S
y
ste
m
M
o
d
e
li
n
g
S
im
u
latio
n
s
f
o
r
S
o
l
v
i
n
g
He
tero
g
e
n
e
o
u
s
WS
N
Tas
k
As
sig
n
m
e
n
t
P
r
o
b
lem
u
sin
g
M
u
l
ti
lay
e
r
F
e
e
d
F
o
rwa
rd
N
e
u
ra
l
Ne
two
rk
s,"
i
n
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Ad
v
a
n
c
e
s i
n
M
a
ter
ia
l
S
c
ien
c
e
&
Na
n
o
tec
h
n
o
lo
g
y
,
2
0
2
0
,
d
o
i:
1
0
.
1
0
1
6
/j
.
m
a
tp
r.
2
0
2
0
.
0
3
.
7
7
4
.
[6
]
S
.
A
b
d
o
ll
a
h
z
a
d
e
h
a
n
d
N.
J.
Na
v
i
m
ip
o
u
r
,
"
De
p
lo
y
m
e
n
t
stra
teg
ies
i
n
t
h
e
wire
les
s
se
n
so
r
n
e
two
rk
:
A
c
o
m
p
re
h
e
n
siv
e
re
v
iew
,
"
El
se
v
ier
:
Co
mp
u
ter
Co
mm
u
n
ica
ti
o
n
s,
v
o
l.
9
1
,
p
p
.
1
-
1
6
,
2
0
1
6
,
d
o
i:
1
0
.
1
0
1
6
/
j.
c
o
m
c
o
m
.
2
0
1
6
.
0
6
.
0
0
3
.
[7
]
A.
M
a
h
b
o
u
b
,
E.
M
.
E
n
-
Na
imi,
M
.
Ario
u
a
,
H.
Ba
rk
o
u
k
,
Y.
E
.
As
sa
ri
a
n
d
A.
E.
Ou
a
l
k
a
d
i,
"
An
e
n
e
rg
y
-
e
fficie
n
t
c
lu
ste
rin
g
p
r
o
to
c
o
l
u
si
n
g
fu
z
z
y
lo
g
ic
a
n
d
n
e
two
r
k
se
g
m
e
n
tati
o
n
fo
r
h
e
tero
g
e
n
e
o
u
s
WS
N,"
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
El
e
c
trica
l
a
n
d
Co
mp
u
ter
En
g
i
n
e
e
rin
g
(IJ
ECE
)
,
v
o
l.
9
,
n
o
.
5
,
p
p
.
4
1
9
2
-
4
2
0
3
,
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/i
jec
e
.
v
9
i5
.
p
p
4
1
9
2
-
4
2
0
3
.
[8
]
G
.
A.
M
u
ti
a
ra
,
N.
S
u
ry
a
n
a
a
n
d
O.
M
o
h
d
,
"
W
S
N
n
o
d
e
s
p
o
we
r
c
o
n
su
m
p
ti
o
n
u
si
n
g
m
u
lt
ih
o
p
r
o
u
ti
n
g
p
r
o
t
o
c
o
l
fo
r
il
leg
a
l
c
u
tt
i
n
g
fo
re
st,
"
T
EL
KO
M
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
,
Co
mp
u
ti
n
g
,
El
e
c
tro
n
ics
a
n
d
Co
n
tr
o
l,
v
o
l.
1
8
,
n
o
.
3
,
p
p
.
1
5
2
9
-
1
5
3
7
,
2
0
2
0
,
d
o
i:
1
0
.
1
2
9
2
8
/T
EL
KO
M
NIK
A.v
1
8
i
3
.
1
4
8
4
4
.
[9
]
A.
Dje
d
o
u
b
o
u
m
,
A.
A.
Ari.
,
A.
G
u
e
ro
u
i,
A.
M
o
h
a
m
a
d
o
u
a
n
d
Z.
Alio
u
a
t
,
"
Big
Da
ta
Co
ll
e
c
ti
o
n
in
Larg
e
-
S
c
a
le
Wi
re
les
s S
e
n
so
r,
"
S
e
n
s
o
rs
,
v
o
l.
1
8
,
n
o
.
1
,
p
.
4
4
7
4
,
2
0
1
8
,
d
o
i:
1
0
.
3
3
9
0
/s1
8
1
2
4
4
7
4
.
[1
0
]
D.
P
a
l
,
T.
Tr
iy
a
so
n
a
n
d
P
.
P
a
d
u
n
g
we
a
n
g
,
"
Big
Da
ta
in
S
m
a
rt
-
Cit
ies
:
Cu
rre
n
t
Re
se
a
rc
h
a
n
d
Ch
a
ll
e
n
g
e
s,"
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
E
n
g
i
n
e
e
rin
g
a
n
d
In
fo
rm
a
ti
c
s
,
v
o
l
.
6
,
n
o
.
4
,
p
p
.
3
5
1
-
3
6
0
,
2
0
1
8
,
d
o
i:
1
0
.
1
1
5
9
1
/
ij
e
e
i.
v
6
i4
.
5
4
3
.
[1
1
]
V.
G
a
z
is,
M
.
G
ö
rtz,
M
.
Hu
b
e
r,
A.
Leo
n
a
rd
i,
K.
M
a
th
i
o
u
d
a
k
is,
A.
Wi
e
sm
a
ier,
F
.
Zeig
e
r
a
n
d
E.
Va
silo
m
a
n
o
lak
is,
"
A
su
rv
e
y
o
f
tec
h
n
o
l
o
g
ies
fo
r
t
h
e
i
n
tern
e
t
o
f
t
h
in
g
s,"
in
2
0
1
5
In
ter
n
a
ti
o
n
a
l
W
ire
les
s
Co
mm
u
n
ica
ti
o
n
s
a
n
d
M
o
b
il
e
Co
mp
u
t
in
g
Co
n
fer
e
n
c
e
(IW
CM
C)
,
Du
b
r
o
v
n
ik
,
Cro
a
t
ia,
2
0
1
5
,
d
o
i
:
1
0
.
1
1
0
9
/T
ENCON
.
2
0
1
8
.
8
6
5
0
5
5
0
.
[1
2
]
J.
Diz
d
a
re
v
ić,
F
.
Ca
rp
i
o
,
A.
Ju
k
a
n
a
n
d
X.
M
a
sip
-
Br
u
i
n
,
"
A
S
u
r
v
e
y
o
f
C
o
m
m
u
n
ica
ti
o
n
P
r
o
to
c
o
l
s
fo
r
In
tern
e
t
o
f
Th
in
g
s
a
n
d
Re
lat
e
d
Ch
a
ll
e
n
g
e
s
o
f
F
o
g
a
n
d
Clo
u
d
C
o
m
p
u
ti
n
g
I
n
teg
ra
ti
o
n
,
"
AC
M
Co
m
p
u
ti
n
g
S
u
rv
e
y
s
,
v
o
l.
5
1
,
n
o
.
6
,
p
p
.
1
1
6
:
1
-
1
1
6
:
2
9
,
2
0
1
9
,
d
o
i
:
1
0
.
1
1
4
5
/3
2
9
2
6
7
4
.
[1
3
]
A.
Ro
d
rí
g
u
e
z
,
L.
M
.
Kriste
n
se
n
a
n
d
A.
Ru
t
le,
"
F
o
rm
a
l
M
o
d
e
ll
in
g
a
n
d
In
c
re
m
e
n
tal
Ve
rifi
c
a
ti
o
n
o
f
th
e
M
QTT
Io
T
P
ro
to
c
o
l
,
"
Tran
sa
c
ti
o
n
s
o
n
P
e
tri
Ne
ts
a
n
d
Oth
e
r
M
o
d
e
ls
o
f
Co
n
c
u
rre
n
c
y
XIV
,
S
p
rin
g
e
r,
Be
rli
n
,
He
id
e
lb
e
rg
,
2
0
1
9
,
d
o
i:
1
0
.
1
0
0
7
/9
7
8
-
3
-
6
6
2
-
6
0
6
5
1
-
3
_
5
.
[1
4
]
A.
S
h
a
o
u
t
a
n
d
B.
Cr
isp
i
n
,
"
Us
i
n
g
th
e
M
QTT
P
r
o
to
c
o
l
i
n
Re
a
l
T
ime
fo
r
S
y
n
c
h
ro
n
izin
g
I
o
T
De
v
i
c
e
S
tate
,
"
T
h
e
In
ter
n
a
t
io
n
a
l
Ara
b
J
o
u
r
n
a
l
o
f
In
f
o
rm
a
ti
o
n
T
e
c
h
n
o
lo
g
y
,
v
o
l.
1
5
,
n
o
.
3
A,
p
p
.
5
1
5
-
5
2
1
,
2
0
1
8
.
[1
5
]
S
.
Xu
a
n
a
n
d
D.
Kim
,
"
De
v
e
lo
p
m
e
n
t
o
f
Clo
u
d
o
f
Th
i
n
g
s
Ba
se
d
o
n
P
ro
x
y
Us
in
g
OCF
I
o
Ti
v
it
y
a
n
d
M
QTT
fo
r
P
2
P
In
tern
e
two
r
k
in
g
,
"
Pee
r
-
to
-
Pee
r
Ne
two
rk
in
g
a
n
d
Ap
p
li
c
a
t
io
n
s,
v
o
l.
1
3
,
n
o
.
1
,
p
p
.
7
2
9
-
7
4
1
,
2
0
2
0
,
d
o
i:
1
0
.
1
0
0
7
/s1
2
0
8
3
-
0
2
0
-
0
0
8
9
1
-
9
.
[1
6
]
J.
-
H.
P
a
rk
,
H.
-
S
.
Kim
a
n
d
W.
-
T
.
Kim
,
"
DM
-
M
QTT:
A
n
Eff
icie
n
t
M
QTT
Ba
se
d
o
n
S
DN
M
u
lt
ica
st f
o
r
M
a
ss
iv
e
Io
T
Co
m
m
u
n
ica
ti
o
n
s,"
S
e
n
so
rs
,
v
o
l.
1
8
,
n
o
.
1
,
p
.
3
0
7
1
,
2
0
1
8
.
[1
7
]
N.
Ne
sh
e
n
k
o
,
E.
B
o
u
-
Ha
rb
,
J
.
Cr
ich
ig
n
o
,
G
.
Ka
d
d
o
u
m
a
n
d
N.
G
h
a
n
i,
"
De
m
y
stify
in
g
Io
T
S
e
c
u
rit
y
:
An
Ex
h
a
u
sti
v
e
S
u
rv
e
y
o
n
Io
T
Vu
ln
e
ra
b
il
i
ti
e
s
a
n
d
a
F
irst
Emp
iri
c
a
l
L
o
o
k
o
n
I
n
tern
e
t
-
S
c
a
le
I
o
T
Ex
p
lo
i
tatio
n
s,
"
IE
EE
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.
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