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SUBMITTED BY:-
AAKASH KUMAR
15EREEEOO1
EE(7TH SEM)
A PRESENTATION
ON
OVERVIEW
 INTRODUCTION
 WINS SYSTEM ARCHITECTURE
 WINS NODE ARCHITECTURE
 WINS MICRO SENSORS
 DISTRIBUTED SENSOR AT BORDER
 WINS DIGITAL SIGNAL PROCESSING
 CHARACTERSTIC & APPLICATION
 PACKAGING
 CONCLUSION
INTRODUCTION
 Wireless Integrated Network Sensors (WINS) now
provide a new monitoring and control capability for
monitoring the borders of the country.
 Using this concept we can easily identify a stranger or
some terrorists entering the border.
 The border area is divided into number of nodes. Each
node is in contact with each other and with the main
node.
 The noise produced by the foot-steps of the stranger
are collected using the sensor.
INTRODUCTION(CONT.)
 This sensed signal is then converted into power spectral
density and the compare with reference value of our
convenience.
 WINS require a microwatt of power so it is very cheaper than
other security system such as Radar and produce less amount
of delay.
 It produce a less amount delay to detect the target.
 It is reasonably faster.
 On global scale wins will permit monitoring of land ,water
and air resources for environment monitoring
WINS System Architecture
 WINS architecture includes sensor, data converter, signal
processing, and control functions.
 The micro power components operate continuously for event
recognition, while the network interface operates at low duty
cycle.
WINS NODE ARCHITECTURE
 The WINS node architecture is developed to enable continuous
sensing, event detection, and event identification at low power.
 Lower power reliable & efficient network is obtained
with intelegent sensor nodes that include sensor signal
processing control wireless interface.
sensor
actuato
r
signal processing
for event detection
control
Processing
event
classification &
identification
wireless
internet
interface
continuously vigilant operation low-duty cycle operation
WINS NODE
ARCHITECTURE(CONT.)
 WINS nodes are distributed at high density in an environment
to be monitored.
 WINS node data is transferred over the asymmetric wireless
link to an end user
WINS MICRO SENSORS
 The detector shown is the thermal detector. It just captures the
harmonic signals produced by the footsteps of the stranger
entering the border.
 These signals are then converted into their PSD values and
are then compared with the reference values set by the user.
Thermal Infrared Detector
DISRTIBUTED SESOR AT BORDER
DIRIBUTED SENSOR AT BORDER(CONT.)
 .
1. REMBASS(Remotely monitored battle field
sensor)
2. UGS(Unattented ground sensor)
3. PIR(passive infrared sensor) motion sensor.
4. Seismic sensor.
5. Accoustic sensor.
6. Image sensor.
WINS DIGITAL SIGNAL
PROCESSING
 if a stranger enters the border, his foot-steps will generate
harmonic signals. It can be detected as a characteristic feature
in a signal power spectrum. Thus, a spectrum analyzer must
be implemented in the WINS.
 The spectrum analyzer resolves the WINS input data into a
low-resolution power spectrum.
WINS micro power spectrum analyzer
architecture
WINS characteristics & application
Characteristics::
 Support large numbers of sensor.
 Dense sensor distributions .
 These sensor are also developed to support short distance RF
communication.
 Internet access to sensors, controls and processor.
APPLICATIONS
On a global scale, WINS will permit monitoring of land, water,
and air resources for environmental monitoring.
On a national scale, transportation systems, and borders will be
monitored for efficiency, safety, and security.
 On a local, enterprise scale, WINS will create a manufacturing
information service for cost and quality control
PACKAGING
 The sensor must be design to minimize the liklihood of
environment effect of wind, rain,snow etc.
 The enclosure is manufacture from clear acrylic material
Enclosure
CONCLUSION
Application specific networking architectures .
Densely distributed sensor networks.
Development platforms are now available .
The network is self-monitoring and secure.
 Now it is possible to secure the border with an invisible
wall of thousands or even millions of tiny interconnected sensors.

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border-security-using-wins

  • 2. OVERVIEW  INTRODUCTION  WINS SYSTEM ARCHITECTURE  WINS NODE ARCHITECTURE  WINS MICRO SENSORS  DISTRIBUTED SENSOR AT BORDER  WINS DIGITAL SIGNAL PROCESSING  CHARACTERSTIC & APPLICATION  PACKAGING  CONCLUSION
  • 3. INTRODUCTION  Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country.  Using this concept we can easily identify a stranger or some terrorists entering the border.  The border area is divided into number of nodes. Each node is in contact with each other and with the main node.  The noise produced by the foot-steps of the stranger are collected using the sensor.
  • 4. INTRODUCTION(CONT.)  This sensed signal is then converted into power spectral density and the compare with reference value of our convenience.  WINS require a microwatt of power so it is very cheaper than other security system such as Radar and produce less amount of delay.  It produce a less amount delay to detect the target.  It is reasonably faster.  On global scale wins will permit monitoring of land ,water and air resources for environment monitoring
  • 5. WINS System Architecture  WINS architecture includes sensor, data converter, signal processing, and control functions.  The micro power components operate continuously for event recognition, while the network interface operates at low duty cycle.
  • 6. WINS NODE ARCHITECTURE  The WINS node architecture is developed to enable continuous sensing, event detection, and event identification at low power.  Lower power reliable & efficient network is obtained with intelegent sensor nodes that include sensor signal processing control wireless interface. sensor actuato r signal processing for event detection control Processing event classification & identification wireless internet interface continuously vigilant operation low-duty cycle operation
  • 7. WINS NODE ARCHITECTURE(CONT.)  WINS nodes are distributed at high density in an environment to be monitored.  WINS node data is transferred over the asymmetric wireless link to an end user
  • 8. WINS MICRO SENSORS  The detector shown is the thermal detector. It just captures the harmonic signals produced by the footsteps of the stranger entering the border.  These signals are then converted into their PSD values and are then compared with the reference values set by the user. Thermal Infrared Detector
  • 10. DIRIBUTED SENSOR AT BORDER(CONT.)  . 1. REMBASS(Remotely monitored battle field sensor) 2. UGS(Unattented ground sensor) 3. PIR(passive infrared sensor) motion sensor. 4. Seismic sensor. 5. Accoustic sensor. 6. Image sensor.
  • 11. WINS DIGITAL SIGNAL PROCESSING  if a stranger enters the border, his foot-steps will generate harmonic signals. It can be detected as a characteristic feature in a signal power spectrum. Thus, a spectrum analyzer must be implemented in the WINS.  The spectrum analyzer resolves the WINS input data into a low-resolution power spectrum. WINS micro power spectrum analyzer architecture
  • 12. WINS characteristics & application Characteristics::  Support large numbers of sensor.  Dense sensor distributions .  These sensor are also developed to support short distance RF communication.  Internet access to sensors, controls and processor.
  • 13. APPLICATIONS On a global scale, WINS will permit monitoring of land, water, and air resources for environmental monitoring. On a national scale, transportation systems, and borders will be monitored for efficiency, safety, and security.  On a local, enterprise scale, WINS will create a manufacturing information service for cost and quality control
  • 14. PACKAGING  The sensor must be design to minimize the liklihood of environment effect of wind, rain,snow etc.  The enclosure is manufacture from clear acrylic material Enclosure
  • 15. CONCLUSION Application specific networking architectures . Densely distributed sensor networks. Development platforms are now available . The network is self-monitoring and secure.  Now it is possible to secure the border with an invisible wall of thousands or even millions of tiny interconnected sensors.