Border security using wing

1. BORDER SECURITY USING WINS
19X01A0413 – GANNAMANENI SAI SUDHA
Department of Electronics and Communication Engineering
Narsimha Reddy Engineering College

2. Content
• Introduction
• Relevance of topic
• State-of-the-art
• Research and development
possibilities
• Commercialization
• Conclusion
• Reference
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3. Introduction
• Wireless Integrated Network
Sensors (WINS) combine sensing,
signal processing, decision
capability, and wireless networking
capability in a compact, low power
system.
• Compact geometry and low cost
allows WINS to be embedded and
distributed at a small fraction of the
cost of conventional wireline
sensor and actuator systems.
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4. Introduction
• On a local, wide-area scale,
battlefield situational awareness
will provide personnel health
monitoring and enhance security
and efficiency.
• Also, on a metropolitan scale, new
traffic, security, emergency, and
disaster recovery services will be
enabled by WINS.
• On a local, enterprise scale, WINS
will create a manufacturing
information service for cost and
quality control.
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5. Relevance of topic
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• Wireless Integrated Network Sensors (WINS) now provide a new
monitoring 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.

6. Relevance of topic
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• 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 environmental monitoring.

7. State-of-the-art
• 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.
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8. State-of-the-art
• 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.
• 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.
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9. Research and development possibilities
• Support large number of sensor.
• Dense sensor distributions.
• These sensor are also developed to support short distance RF
communication.
• Internet access to sensors , controls and processor.
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10. Research and development possiblities
ØIt should be developed in various ways,such as
• 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.
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11. Commercialization
WINS products:
• REMBASS(Remotely monitored battle field sensor)
• UGS(Unattented ground sensor)
• PIR(Passive infrared sensor)motion sensor
• Seismic Sensor
• Accoustic Sensor
• Image Sensor
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12. Conclusion
• 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.
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13. Conclusion
• Densely distributed sensor networks.
• Application specific networking architectures.
• Developments platforms are now available.
• The network is self monitoring and secure.
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14. References
Ø M.J. Dong, G. Yung, and W. J. Kaiser,”Low power signal processing
architectures for network microsensor”, 1997 International Symposium
on low power electronics and design , digest of technical papers(1997).
ØA.A. Abidi ,“Lo –power radio –frequency ICs for portable
communications “,proceedings of the IEEE , 83,(1995).
ØD.B. Leeson,“ A simple model of feedback oscillator noise spectra”.
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15. Thank you
Border Security Using WINS
19X01A0413 – GANNAMANENI SAI SUDHA
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