This document discusses wireless integrated network sensors (WINS) for border security. WINS were developed in the 1990s by DARPA to allow distributed sensor networks to operate using very low power. The key points are: 1. WINS nodes can detect intrusions using very little power (microwatts), making them cheaper than conventional radar systems. 2. A typical WINS network architecture involves distributed sensor nodes that detect events, process signals locally, communicate with each other, and transmit alerts. 3. WINS applications include environmental monitoring, infrastructure monitoring, and border security due to their low-cost, distributed nature.

1. BORDER SECURITY USING WIRELESS
INTEGRATED NETWORK SENSONRS
SUBMITTED TO: RETHWAN FAIZ

2. SUBMITTED BY
1. PROGYA, PARMITA MAJUMDER.
ID: 15-28343-1
2. AVA, ARINTA FARZANA
ID: 15-28386-1
3. ROY, KARABI
ID:15-28432-1
4.MOSTAFA,MAHJABIN
ID:13-22907-1
5.SARKER ,ANINDYA
ID:13-23386-1

3. OVERVIEW
 WINS introduction.
 Evolution.
 Working principle.
 System Architecture.
 Node Architecture.
 Digital Signal Processing.
 Applications.
 Design Consideration & packaging
 Advantages & Disadvantages.
 Future Scope.
 Conclusion.
 Reference.

4. INTRODUCTION OF WINS
WINS:
Require a few microwatt of power to operate
so it is cheaper then the conventional radar
system.
It produce a less amount delay
to detect target and reasonably
faster.

5. EVOLUTION OF WINS
 WINS initiated in 1993
under defense advance
Research project agency
(DARPA) IN US.
 LWIM program began in1995.

7. SYSTEM ARCHITECTURE

8. WINS NODE ARCHITECTURE
 1998 WINS NG developed by the authors: contiguous sensing,
signal processing for even detection local control of actuators,
event classification , communication at low power
1.Event detection is contiguous: micro power levels
2.Event detected =alert process to indentify the event.
3.Further processing
4.Comunication between WINS nodes

9. NODES CONNECTION OF WINS

10. DIGITAL SIGNAL PROCESSING
 If a stranger enters the borders , his foot-
steps will generate harmonic signals.
 If can be detector as a characteristics feature
in a signal power spectrum.
 The spectrum analyzer resolve the WINS
input data into a low resolution power
spectrum .

11. APPLICATIONS
 Environmental monitoring.
 Efficiency ,Safety, and Security.
 Cost and Quality control.

12. DESIGN CONSIDERATION & PACKAGING
 Reliability
 Energy: There are four way in which node consume energy
a. Sensing
b. Computation
c. Storing
d. Communicating

13. ADVANTAGES & DISADVANTAGES
Advantages:
 It avoid hell lot of wiring
 It can accommodate new devices at any time
 Its flexible to go through physical partition.
 It is very cheaper ,faster ,can be accessed in shorter distances ,having
less amount of delay and also power consumption is in the order of
microwatt.
Disadvantages:
 Its easy for hackers to hack it as we can’t control propagation of waves.
 Comparatively low speed of communication.
 Still costly at large.

14. FUTURE SCOPE
 To exploit redundancy
 To employ more efficient technique for fault
tolerance.
 To maximize the life time of sensor nodes.
 To provide efficient energy harvesting
techniques.

15. CONCLUSION
 Densely distributed sensor networks.
 Application specific networking architectures.
 Developments platforms are now available.
 The network is self monitoring and secure

16. REFFERENCES
 http://en.wikipedia.org/wiki/WINS.
 http://www.seminarsonly.com/electrical%20&
%20electronics/Border%20Security%20using
.php.
 WWW.GOOGLE.COM.
 D.B.leeson ‘ A simple model of osscilator
noise spectra’