BORDER SECURITY USING WIRELESS INTEGRATED NETWORK SENSOR(WINS) PRESENTED BY: SAURAV SINGH
OVERVIEW • INTRODUCTION • WINS SYSTEM ARCHITECTURE • WINS NODE ARCHITECTURE • WINS MICRO SENSORS • DISTRIBUTED SENSOR AT BORDER • WINS DIGITAL SIGNAL PROCESSING • CHARACTERSTIC & APPLICATION • PACKAGING • CONCLUSION
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.
INTRODUCTION(CONT.) • This sensed signal is then converted into power spectral density and the compare with reference value of our convenience. • 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 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.
sensor signal processing for event detection Processing event classification & identification wireless internet interface interface actuator control continuously vigilant operation low-duty cycle operation WINS NODE ARCHITECTURE • The WINS node architecture is developed to enable continuous sensing, event detection, and event identification at low power. • Lower power reliable & efficient network is obtained with intelegent sensor nodes that include sensor signal processing control wireless interface.
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
WINS MICRO SENSORS Thermal Infrared Detector • 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.
DIRIBUTED SENSOR AT BORDER(CONT.) REMBASS(Remotely monitored battle field sensor) 2. UGS(Unattented ground sensor) 3. PIR(passive infrared sensor) motion sensor. 4. Seismic sensor. 5. Accoustic sensor. 6. Image sensor. • .
WINS DIGITAL SIGNAL PROCESSING WINS micropower spectrum analyzer architecture • 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 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.
APPLICATIONS • 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
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
CONCLUSION • Application specific networking architectures . • Densely distributed sensor networks. • 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.