1. PRESENTED BY: SAURAV SINGH

2.  INTRODUCTION  WINS SYSTEM ARCHITECTURE  WINS NODE ARCHITECTURE  WINS MICRO SENSORS  DISTRIBUTED SENSOR AT BORDER  WINS DIGITAL SIGNAL PROCESSING  CHARACTERSTIC & APPLICATION  PACKAGING  CONCLUSION

3.  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.  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 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.  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 interface signal processing for event detection control Processing event classification & identification wireless internet interfac e continuously vigilant operationlow-duty cycle operation

7.  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.  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. .. 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.  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 micropower spectrum analyzer architecture

12. 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.  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.  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.  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.