Border security using Wireless Integrated Network Sensors(WINS)

1
Border security usingWireless Integrated Network
Sensors(WINS)

• RAMSWAROOP YADAV
• ECE 7TH SEM
• UE6551

2
Overview

• INTRODUCTION
• RECENT DEVELOPMENT
• WINS System Architecture
• WINS Node Architecture
• WINS Micro sensor
• WINS Digital Signal Processing
• WINS characteristics application
• Design consideration
• Conclusion

3
INTRODUCTION

• 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.

4
INTRODUCTION (WINS)

• 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.

5
DEVELOPMENT OF WINS

• 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.

6
worldwide user
local area
low power networking
Internet
sensing
wireless communication
signal processing / event recognition
7
Distributed sensor at Border
8
WINS System Architecture

• 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
9
WINS NODE ARCHITECTURE

• 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 gt alert process to identify the
  event
• Further processing? Alert remote user /
  neighboring node?
• Communication between WINS nodes

10
WINS NODE ARCHITECTURE(cont..)

• 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
Nodes connection of WINS
12
WINS MICRO SENSORS

• 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
13
REMBASS

• 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.

14
Sensor board
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.
15
WINS DIGITAL SIGNAL PROCESSING

• 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
16
WINS characteristics application

• 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

17
Application

• 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.
• On a local, enterprise scale, WINS will create a
  manufacturing information service for cost and
  quality control.

18
Design consideration

• Reliability
• Energy There are four way in which node consume
  energy
• Sensing
• Computation
• Storing
• Communicating
• Sensing Choosing right sensor for the job can
  improve the system performance.

19
Packaging

• 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
20
Unanticipated faulty behavior

• We experienced several failure as a result of
  undetectable, incorrectly download program and
  depeleted energy level etc.
• For example node will detect false event when
  sensor board is overheated.

21
Conclusion

• 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.

22
THANK YOU