Bordersecurityusingwirelessintegratednetworksensorswins 130402083822-phpapp02

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Information about Bordersecurityusingwirelessintegratednetworksensorswins...

Published on May 4, 2014

Author: sindhunathan56

Source: slideshare.net

 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.

 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.

 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.

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

 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

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

 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

 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

 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.

 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

 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.

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

 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

 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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