Wireless integrated network sensors (WINS) can be used for border security by monitoring footsteps and other sounds to detect strangers entering border areas. WINS nodes are distributed across the border and communicate with each other and a main node. When a sensor detects footsteps, it analyzes the sound and compares it to a reference value to identify strangers. WINS require very low power compared to other security systems like radar, and can detect targets faster with less delay. WINS allow dense distribution of sensors along borders for efficient monitoring of movement across land borders.

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
12/9/2022 Title Summary, Hall ticket no., Section A/B, ECE, NRCM 5
• 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.
• 12/9/2022 Title Summary, Hall ticket no., Section A/B, ECE, NRCM 7

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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