By Kotagiri Rakheesh UIN 00918462 ID: 490801
Download Presentation The PPT/PDF document "Sensing Through the Continent: Towards M..." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
Sensing Through the Continent: Towards Monitoring Migratory Birds Using Cellular Sensor Networks.
By
Kotagiri
Rakheesh
UIN: 00918462Slide2
Authors, Sponsors and Acknowledgment
David Anthony
,
William P. Bennett, Jr
.,
Mehmet C.
Vuran
,
Matthew B.
Dwyer.
Sebastian
Elbaum
,
Anne
Lacy,
Mike
Engels,
Walter
Wehtje
.
Department
of Computer Science and Engineering
University
of Nebraska - Lincoln, Lincoln
, {
danthony,wbennett,mcvuran,dwyer,elbaum
}
NE@cse.unl.edu
, International
Crane Foundation, Baraboo, WI
anne
,
engels
}@
savingcranes.org
, The
Crane Trust, Wood River, NE
wwehtje@cranetrust.org
.
This work was supported, in part, by the National Science Foundation under CAREER Award CNS-0953900 and
Award CNS-0720654; and by the National Aeronautics and
Space Administration under grant number NNX08AV20A.Slide3
Why This Paper
In monitoring migratory birds.
Learning the causes for mortality of birds.
In return helps in aero ecological balance.
In the technical field the growth of CSN.
Cellular
Sensor Networks
.
Research scope:
Scope to develop mobile sensing sensors.
Sensors platforms, Reliable Sensor Networks
Slide4
Presentation Flow
Introduction
Related Work
Back Ground Work
Crane Tracker
Evaluation and Discussion
ConclusionSlide5
IntroductionThe Whooping Crane
is
one of
the most
endangered bird species native to North America
.
The study of its migration helps in conservation of the endangered birds.
In this paper we see the design challenges, The sensors used shouldn’t disturb the behavior of the bird.
We come across WSN(wireless sensor networks)
Period of study.
Migration Study.Slide6
Related Work
Since 1930 many efforts have been kept towards tracking migration of birds.
But the gathered information was less for analyzing the migration of birds, And the process require intensive labor.
Whooping Crane Tracking:
Prior methods in tracking involved people having visual contact with birds. They used to place colored bands to the birds to differentiate them from other birds.
Ground based monitors(man) used to spot the birds migration areas and make record of these birds----This has limitation of migration area.
Over a period of time , light weight leg bands were used. These bands are attached with VHF(very high frequency) transmitters. This helped to over come manual visualization but still----Has limitations of communication range and manual effort of following.Slide7
Cont.…
Later in todays GPS receivers communicate with satellite links, this help to trace the migration path.
But this approach too have limitations currently which we are facing.
The size of GPS antenna.
Cost purchasing and operating the device.
Devices limited energy.
With standing climatic conditions.
2) Wild life monitoring with WSN:
This Wireless Sensor Networks can be classified in two kinds.
Infrastructure based
Limitations—Not possible to place these nodes through out the birds habitat.
—Communication delay.Slide8
Cont.….
Ad-hoc
A wireless ad hoc network is a decentralized type of wireless network
.
The
ad
hoc
network
does not rely on a preexisting infrastructure, such as routers in wired networks or access points in managed (infrastructure) wireless networks. Instead, each node participates in routing by forwarding data for other nodes, and so the determination of which nodes forward data is made dynamically based on the network connectivity. In addition to the classic routing, ad hoc networks can use flooding for forwarding the data
.
Limitation
--- Works only when
birds are in close
vicinity.
3) Reliability:
We need a reliable OS, Which is very simple in use a only to handle this related data. So in this we adapt to Aspect-oriented programming techniques, With this we develop a
TinyOS
for runtime monitoring in simulations.
To make this tracking of birds and monitoring them successful we need rely completely on a strategy, equipment, communication network. For this……… Slide9
Cont.…..
We adopt to
Wireless
Cellular
Network.
A cellular network
is
a radio network distributed over land areas called cells, each served by at least one fixed-location transceiver, known as a cell site or base station. In a cellular network, each cell uses a different set of frequencies from neighboring cells, to avoid interference and provide guaranteed bandwidth within each cell.
When joined together these cells provide radio coverage over a wide geographic area. This enables a large number of portable transceivers
to
communicate with each other and
even
if some of the transceivers are moving through more than one cell during transmission.
Cellular networks offer a number of advantages over alternative solutions:
increased
capacity
reduced power use
larger coverage area
reduced interference from other signalsSlide10
BACKGROUND
In this we are going to see the Requirements and challenges faced in monitoring cranes.
Requirements:
The requirements of the tracker device.
Weight : < 120 grams
GPS: 2 samples per day
Location Accuracy : < 10m desired, <25m acceptable
Communication Latency: < 24 hrs
Migration Tracking
Reduced Latency
Bird movement characterization
Long-term operation
Flexible operation
Backpack MountingSlide11
Cont…..
Challenges:
1) Weight and Size Restrictions.
2) Mobility
3) Unattended Operation
4) Unknown Behaviors
5) Endangered StatusSlide12
Crane Tracker
In this part we going to see how the Requirements can be achieved and challenges can be addressed.
The Crane Tracker, This system has mainly two components.
The Crane Tracker
that is
attached to
the cranes and monitors their
movement
throughout
the Continent.
Back-end
components that are
used to
store, analyze, and visualize the collected data.
Slide13
Multi-Modal CommunicationAfter all the Sensor networks available, we finally adopted to Cellular Sensor Networks.
GSM technology is used for
this project
because its widespread international adoption
will enable
future experiments in a wide variety of locations
.
The GSM module requires careful power supply
design. While
the rest of the platform components operate at
3.3V.
Testing on the CraneTracker
showed the
module used an average of 64mA while sending a
text message.
However, in breeding
and wintering
locations, cranes generally use the same
locations over
several years. If cellular coverage is lacking at this particular location, long-term storage may not be sufficient
to. store
all of the recorded
information.Slide14
Multi-modal SensingSensing components were selected to provide
information about
the bird, the environment, and the
system.
The sensing requirements specify position information, movement information, ambient solar power, temperature, and
battery voltage.
The selection of this receiver
is based
on multiple factors including power consumption,
chip weight
, antenna weight, size, channels, sensitivity,
position accuracy
, durability and
time-to-first-fix.
To characterize the bird movements and behaviors an HMC6343 solid-state compass, which includes a three dimensional accelerometer and magnetometer, and
temperature sensor
in a single
package is selected.
Environmental data is collected through the
temperature sensor
in the compass and through the solar panel. To
infer the
intensity of ambient light through the solar panel,
the voltage
and current are recorded from the panel. In
addition to
bird-specific and environmental data, information
about the
system performance is also desired.Slide15
Energy Harvesting and Power ControlTo maximize the lifetime of the device, a flexible
solar panel
from
Power Film is
used to recharge a
lithium polymer battery.
The solar panel specification states it
is capable
of providing 50mA at 4.8V
.
A lithium polymer battery is used because its high energy density minimizes
the weight
of the device, while allowing it to run for
extended periods
when solar energy is not available
.
The
voltage and current supplied by the solar
panel is
monitored and logged by the mote as well
.
The
output from
the charge management circuit is used to charge
the battery.
The separation of software from system control
enables the
system to recover from unforeseen software
errors.Slide16
Crane Tracker Hardware and SoftwareSlide17
Data ManagementData is
organized into sensor
records. The records
stored in flash are divided into compass and
GPS records
that are prefixed with a common header.
The stored data is organized into a FIFO circular queue that can
hold up
to 16, 912 records. In the event that the queue fills without data being transmitted, the oldest data in the system
is overwritten
first
.
Enclosure
Design
To fulfill the durability and environmental protection requirements, several harness and enclosure designs were evaluated
.
Based on the feedback from ecologists, a backpack approach is used
.
In addition, a backpack design has potential
benefits to
system design since exposure to the sun and
movement monitoring
accuracy increases when compared to a leg
band.Slide18
Fault Detection and ToleranceTo maximize the chance of a mission’s success, the system must be fault tolerant
.
Additionally, the system software should undergo thorough testing and verification
.
The first area of fault tolerance is in the
communication scheme
. The combination of GSM and short-range radio enables the tracker to continuing operating when one
method is
damaged or unable to
communicate.
Second, the
GPS and
compass can redundantly sense some of the
information about
the cranes, such as whether they are alive or dead
.
Finally, the hardware provides fault tolerance for the software. In cases where a software fault leaves the system
in a
high energy consumption state, the hardware is
capable of
removing power and rebooting the system after too
much energy
has been consumed.Slide19
Wild Sand hill Crane Deployments
Five
cranes
from three
families have participated in the experiments.
The cranes
are designated JB-Male and JB-Female;
SH-Female and
SH-Chick; and BB-Female. The two letter prefix identifies the crane’s family, and the suffix is the crane’s gender.Slide20
EVALUATION AND DISCUSSIONFirst this crane tracker is used on turkey hen.
Control: A stationary control mote is placed in the
open within
1 km of the hen’s habitat. This mote consists of
the same
hardware and software as attached to the
captured turkey.Slide21
Captive Siberian Crane ExperimentsTo evaluate the performance on a real crane in a
semi controlled
environment, the CraneTracker was tested in
July 2011
with three captive Siberian Cranes: A. Wright,
Bazov
, and
Hagrid
.
Lessons Learned: During the experiments at the
site,heading
, pitch, and roll were inconsistent even though component tests were successful in other locations. This erroneous behavior was confirmed with all compass units available as well as an alternate inertial measurement unit and
a smartphone
.Slide22
CONCLUSIONS AND FUTURE WORKDeveloping
and evaluating a tracking platform for Whooping Cranes, which
present unique
challenges in their mobility and extremely low population size
.
The
developed cellular sensor network
platform seeks
to provide more detailed data on these birds’
behavior.
CraneTracker’s
design aims to provide multi-modal
sensing and
multi-modal communication capabilities that allow reliable and time-critical monitoring on a continental
scale.
In the near future, the platform will be deployed on extended missions with captive-reared Whooping Cranes. Given successful field tests, the devices can then
be deployed
to the Whooping Crane population. The
collected data
from the Whooping Cranes will be used to
identify
and protect
critical habitat areas for this iconic bird species.