Presentation by Alain Tamayo during the Sensor Web System and Visualization paper session of the Sensor Web Enablement workshop (held during the 2011 Cybera Summit).

1. Sensor
Observation
Service
Client
for
Android
Mobile
Phones
Alain
Tamayo,
Pablo
Viciano,
Carlos
Granell,
Joaquín
Huerta
Geospatial
Technologies
Research
Group,
Universitat
Jaume
I,
Spain
SWE
2011,
Oct
6-­‐7

2. 1
.
Motivation
The
number
of
sensors
deployed
worldwide
and
the
amount
of
data
captured
by
them
is
growing
at
a
fast
pace.
Hardware
and
software
of
mobile
phones
have
had
a
rapid
evolution
making
possible
to
users
to
access
Web
content
anytime
and
anywhere.
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
2

3. 2
.
Motivation
The
Sensor
Observation
Service
(SOS)
specification
provides
a
web
service
interface
to
retrieve
sensor
and
observation
data.
Several
clients
for
this
specification
have
been
developed
mostly
for
web
and
desktop
environments,
but
not
for
mobile
phones.
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
3

4. 3
.
Goal
Our
goal
is
to
develop
a
SOS
client
for
the
Android
platform
Linux-­‐based
OS
developed
by
Google
Android
had
22.7%
of
the
smartphones'
market
share
(February
22.7%
Source:
Gartner
Inc.)
It
provides
a
Java
API
Plug-­‐in
for
Eclipse
IDE
available
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
4

5. 4
.
Application
Requirements
• SOS
client
for
Android
versions
2.2
and
above
• Support
for
the
core
profile
of
SOS
1.0.0
(GetCapabilities,
DescribeSensor,
GetObservation)
• Visualisation
of
sensor
locations
and
information
• Support
for
temporal
and
spatial
filters
• Visualisation
of
observations
in
tables
and
charts
• Easy
management
of
server
information
• Connection
to
existing
servers
without
the
use
of
mediator
components
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
5

6. 5
.
Application
Architecture
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
6

7. 6
.
Data
Access
Layer
• Network
communication
Library
• Support
for
operations
in
the
Core
Profile
using
HTTP
Bindings
• XML
Processing
Code
(Adapters)
• An
adapter
exists
for
every
type
of
response
• Adapters
are
generated
from
the
SOS
schemas
using
an
Instance-­‐
based
approach
from
a
corpus
gathered
from
56
SOS
servers
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
7

8. 7
.
Instance-­‐based
Code
Generation
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
8

9. Dependencies
of
types
in
GML
3.1.1
9
Type
Definition
Hierarchy
GML
3.1.1

10. 8
.
Business
Logic
Layer
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
10

11. 9
–
UI
Layer
Google
Maps
Library
is
used
for
map
visualisation:
http://code.google.com/intl/es-­‐ES/
android/add-­‐ons/google-­‐apis/maps-­‐
overview.html
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
11

12. 10
–
UI
Layer
(2)
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
12

13. 11
–
UI
Layer
(3)
aChartEngine
is
used
to
display
charts:
http://code.google.com/p/achartengine/
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
13

14. 12
.
Limitations
• Support
only
for
observations
encoded
using
ObservationType
• Observations
must
be
encoded
as
swe:DataArray
(52
North
SOS,
Deegree)
• Limited
support
for
filtering
observations
(TM_During,
TM_Equals,
BBOX)
• Only
one
table
at
a
time
can
be
displayed
om:result
defined
as
xsd:anyType
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
14

15. 11
–
Challenges
and
Open
Issues
• Large
size
and
complexity
of
the
schemas
difficult
development:
XML
data
binding
tools
produces
large
binaries,
producing
this
code
manually
is
an
error-­‐prone
and
time-­‐consuming
task.
• Constraints
related
to
display
size
limit
the
amount
of
information
that
can
be
shown
to
the
user.
• SOS
specification
is
generic
and
open
to
extension
• Potentially
large
volume
of
data
returned
by
SOS
servers
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
15

16. 11
-­‐
Conclusions
• We
have
implemented
an
Android
client
for
the
SOS
specification
that
allows
the
visualisation
of
sensor
locations
and
information,
to
visualise
of
observations
in
tables
and
charts,
to
filter
observations
according
to
temporal
and
spatial
criteria
and
to
easily
manage
the
information
about
server
end-­‐points
• During
the
development
of
the
application
a
group
of
challenges
and
open
issues
were
found.
We
were
able
to
partially
tackle
some
of
these
problems,
but
their
definitive
solution
remains
open.
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
16

17. 12
–
Licensed
Content
Some
of
the
images
included
in
this
presentation
has
been
obtained
from
Flickr.
Details
below:
• Slide
2:
Cell
phone
evolution
by
sean
dreilinger,
• Slide
2:
Train
Sensor
"mass
detector”
by
Frosted
Peppercorn,
• Slide
2:
Precipitation
Sensor
by
ARM
Climate
Research
Facility,
• Slide
2:
NASA's
Upper
Atmosphere
Research
Satellite
by
NASA
Goddard
Photo
and
Video,
• Slides
2
and
4:
android
pixelpipe
by
osde8info,
• Slides
2
and
4:
Samsung
Galaxy
S
by
yum9me,
• Slide
4:
Android
-­‐
White
Background
by
Saad
Irfan,
• Slide
4:
Samsung
Galaxy
Tab
by
3
Sverige
Sensor
Observation
Service
Client
for
Android
Mobile
Phones
17

18. ¿?
Thank
you
for
your
attention