border security using wireless integrated network sensor ppt2

8/3/2019 Border Security Using Wireless Integrated Network Sensor Ppt2

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ByB Niranjan reddy (07R75A0406)D Sushma (06R71A0427)J K Anusha (06R71A0435)K Srikanth (06R71A0443)


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INTRODUCTION RECENT DEVELOPMENT

WINS System Architecture WINS Node Architecture WINS Micro sensor WINS Digital Signal Processing WINS characteristics & application Design consideration Conclusion


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Wireless Integrated Network Sensors (WINS) now providea new monitoring and control capability for monitoringthe borders of the country.

Using this concept we can easily identify a stranger orsome terrorists entering the border.

The border area is divided into number of nodes. Eachnode is in contact with each other and with the main node.

The noise produced by the foot-steps of the stranger arecollected using the sensor. This sensed signal is thenconverted into power spectral density and the comparedwith reference value of our convenience.


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WIRE LESS INTEGRATED NETWORK SENSOR(WINS)

WINS provide a new monitoring and control capability formonitoring the Border of the country.

WINS require a microwatt of power so it is very cheaper thanother security system such as Radar and produce lessamount 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 ,waterand air resources for environment monitoring.


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WINS Initiated in 1993 under Defence advance research

project agency(DARPA)in US.

LWIM (Low power wireless integratedmicrosensor)program began in 1995 for furtherdevelopment os WINS sponsored by DARPA.

In 1998, WINS NG introduced for wide varity ofapplication.

the LWIM projectmultihop, self-assembled, wirelessnetwork algorithms for operating at micropower levels.


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Internet

sensing

signal processing / event recognition

wireless communication

low powernetworking

local areaworldwide user


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WINS architecture includes sensor, data converter,signal processing, and control functions.

The micro power components operate continuouslyfor event recognition, while the network interface

operates at low duty cycle.

Continuous operation low duty cycle


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1998: WINS NG developed by the authors contiguous sensing, signalprocessing for event detection, local control of actuators, eventclassification, communication at low power

Event detection is contiguousmicropower levels

Event detected => alert process to identify the event Further processing? Alert remote user / neighboring node?

Communication between WINS nodes

sensor

actuator

signal processing

for event detection

control

Processing

event classification& identification

wireless

internetinterface

continuously vigilant operation low-duty cycle operation


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WINS nodes are distributed at high density in anenvironment to be monitored.

WINS node data is transferred over the

asymmetric wireless link to an end user


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The detector shown is the thermal detector. It just capturesthe harmonic signals produced by the footsteps of thestranger entering the border.

These signals are then converted into their PSD values andare then compared with the reference values set by the user.

Thermal Infrared Detector


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Remotely monitored battlefield sensorsystem(REMBASS)

Use now a day in unattended groundsensor(UGS) These sensor used seismic-acoustic energy,

infrared energy and magnetic field to detectenemy activity.


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Fig. . Sensor hardware from left to right: (a) Mica2 network node,(b) Mica Sensor Board, (c) Mica Power

Board, (d) TWR-ISM-002 Radar Board, and (e) All of the boards

attached together.


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If a stranger enters the border, his foot-steps willgenerate harmonic signals. It can be detected as acharacteristic 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 micro ower s ectrum anal zer architecture


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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


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On a global scale, WINS will permitmonitoring 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 createa manufacturing information service for costand quality control.


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Reliability Energy :There are four way in which node consume

energy1. Sensing2. Computation3. Storing4. Communicating

Sensing: Choosing right sensor for the job canimprove the system performance.


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The sensor must be design to minimize the liklihood ofenvironment effect of wind, rain,snow etc.

The enclosure is manufacture from clear acrylic material.

Enclosure


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We experienced several failure as a result ofundetectable, incorrectly download program

and depeleted energy level etc.

For example node will detect false eventwhen sensor board is overheated.


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Densely distributed sensor networks. Application specific networking architectures 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.


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border security using wireless integrated network sensor ppt2

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