2.  Wireless Integrated Network Sensors (WINS) now provide
a new monitoring and 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.This sensed signal is then
converted into power spectral density and the compared
with reference value of our convenience.

3.  WIRE LESS INTEGRATED NETWORK SENSOR(WINS)
 WINS provide a new monitoring and control capability for
monitoring the 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.
 It is reasonably faster.
 On global scale wins will permit monitoring of land ,water
and air resources for environment monitoring.

4.  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 osWINS sponsored by DARPA.
 In 1998,WINS NG introduced for wide varity of
application.
 the LWIM project  multihop, self-assembled, wireless
network algorithms for operating at micropower levels.

5. Internet
sensing
signal processing / event recognition
wireless communication
low power
networking
local area worldwide user

7.  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.
Continuous operation low duty cycle

8. 1998:WINS NG developed by the authors  contiguous sensing, signal
processing for event detection, local control of actuators, event
classification, communication at low power
 Event detection is contiguous  micropower 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
internet
interface
continuously vigilant operation low-duty cycle operation

9.  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

11.  The detector shown 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 set by the user.
Thermal Infrared Detector

12.  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.

13.  If a stranger enters the border, his foot-steps will
generate harmonic signals. It can be detected as a
characteristic feature in a signal power spectrum.Thus,
a spectrum analyzer must be implemented in theWINS.
 The spectrum analyzer resolves theWINS input data
into a low-resolution power spectrum.
WINS micropower spectrum analyzer architecture

14.  On a global scale,WINS will permit
monitoring 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.

15.  Reliability
 Energy :There are four way in which node consume
energy
1. Sensing
2. Computation
3. Storing
4. Communicating

16.  The sensor must be design to minimize the liklihood of
environment effect of wind, rain,snow etc.
 The enclosure is manufacture from clear acrylic material.
Enclosure

17.  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.