1. Border Security Using Wireless Integrated Network Sensors
Presented By Guided By Surbhi Sinha Mr. Md. Ameen Sadiq 1rn07ee054 Sr. Lecterer EEE
Border Security Using Wireless Integrated Network Sensors

2. Wireless + Integrated Network +Sensor  Wireless Integrated Network Sensor

3. Overview Introduction WINS Development Signal processing Architecture
WINS Node Architecture
WINS micro sensors
Design Consideration
WINS Characteristics & Applications
Conclusion

4. Introduction WIRE LESS INTEGRATED NETWORK SENSOR(WINS).
WINS now provide a new monitoring & control capability for transportation, manufacturing, health care, and the security to Border of the country.
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.

5. Introduction
Using WINS concept we can easily identify a stranger or some terrorists entering the border.
It is reasonably faster.
On global scale wins will permit monitoring of land , water and air resources for environment monitoring.

6. WINS Development
WINS Initiated in 1993 under Defence advance research project agency(DARPA)in US.
LWIM (Low power wireless integrated Microsensor)program began in 1995 for further development os WINS sponsored by DARPA.
The LWIM project is multihop and self-assembled
In 1998, WINS NG introduced for wide varity of
application.

7. A general picture WINS worldwide user local area event information
low power
networking
Internet
sensing
wireless communication
event information
signal processing / event recognition

8. Features Wireless network algorithms for operating at
micropower levels
Low-power signal processing, computation
Low cost wireless networking
RF communication over short distances ( < 30m )
Low power consumption (100 micro watt)

9. Signal-Processing Architecture
If stranger enters the border, his foot step will generate harmonic signal.
It will detected as characteristic feature in a signal power spectrum, thus a spectrum analyzer must be implemented in the WINS digital signal processing system.
The spectrum analyzer resolves the WINS input data into a low-resolution power spectrum.

10. Block diagram of WINS

11. WINS Node Architecture
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.
Support plug-in Linux devices
Small, limited sensing devices  interact with WINS NG nodes in heterogeneous networks
Scavenge energy from the environment  photocells

12. WINS Node Architecture (cont)

13. Nodes connection of WINS

14. NODE CONNETIONS

15. WINS MICRO SENSORS The detector 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.

16. WINS MICRO SENSORS

17. REMBASS Remotely monitored battlefield sensor system(REMBASS).
Use now a day in unattended ground sensor(UGS)
These sensor used seismic-acoustic energy, infrared energy and magnetic field to detect enemy activity.

18. DESIGN CONSIDERATION Reliability
Energy :There are four way in which node consume energy
Sensing
Computation
Storing
Communication

19. CHARACTERISTICS &APPLICATION
Applications:
Industries
Transportation
Manufacture
Health care
Environmental oversight
Safety & Security.
Characteristics:
Support large numbers of sensor.
Dense sensor distributions

20. CHARACTERISTICS &APPLICATION
These sensor are also developed to support short distance RF communication
Internet access to sensors, controls and processor
Low average bit rate communication(<1-100kbps)
Exploit the short distance seperation.
Multihop communication.

21. Conclusion Densely distributed sensor networks (physical constraints)
Layered and heterogeneous processing
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.