Border security using Wireless Integrated Network Sensors(WINS)

1. RAMSWAROOP YADAV ECE 7TH SEM UE6551 Border security usingWireless Integrated Network Sensors(WINS)

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. event information 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. 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 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

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