Wireless integrated network sensors (WINS) can now monitor national borders by detecting intruders. The border area is divided into nodes that communicate with each other and a main node. Sensors detect footstep noises which are converted into power spectral densities and compared to reference values. WINS require little power and produce less delay than other security systems like radar, allowing reasonably fast detection of targets along borders and enabling global environmental monitoring through distributed land, water, and air sensors.

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 os WINS 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. local area worldwide user
low power
Internet
networking
sensing wireless communication
t o n
en mati
ev or
inf
signal processing / event recognition

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 signal processing Processing wireless
interface
for event detection internet
event classification
& identification interface
actuator control
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 the WINS.
 The spectrum analyzer resolves the WINS 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.