Border Security Using Wireless Integrated Network Sensors Presented By Guided By Surbhi Sinha Mr. Md. Ameen Sadiq 1rn07ee054 Sr. Lecterer EEE Border Security Using Wireless Integrated Network Sensors

Wireless + Integrated Network +Sensor  Wireless Integrated Network Sensor

Overview Introduction WINS Development Signal processing Architecture WINS Node Architecture WINS micro sensors Design Consideration WINS Characteristics & Applications Conclusion

Introduction WIRE LESS INTEGRATED NETWORK SENSOR(WINS). WINS now provide a new monitoring & control capability for transportation, manufacturing, health care, and the security to 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.

Introduction Using WINS concept we can easily identify a stranger or some terrorists entering the border. It is reasonably faster. On global scale wins will permit monitoring of land , water and air resources for environment monitoring.

WINS Development 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. The LWIM project is multihop and self-assembled In 1998, WINS NG introduced for wide varity of application.

A general picture WINS worldwide user local area event information low power networking Internet sensing wireless communication event information signal processing / event recognition

Features Wireless network algorithms for operating at micropower levels Low-power signal processing, computation Low cost wireless networking RF communication over short distances ( < 30m ) Low power consumption (100 micro watt)

Signal-Processing Architecture If stranger enters the border, his foot step will generate harmonic signal. It will detected as characteristic feature in a signal power spectrum, thus a spectrum analyzer must be implemented in the WINS digital signal processing system. The spectrum analyzer resolves the WINS input data into a low-resolution power spectrum.

Block diagram of WINS

WINS Node Architecture 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. Support plug-in Linux devices Small, limited sensing devices  interact with WINS NG nodes in heterogeneous networks Scavenge energy from the environment  photocells

WINS Node Architecture (cont)

Nodes connection of WINS

NODE CONNETIONS

WINS MICRO SENSORS The detector 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.

WINS MICRO SENSORS

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.

DESIGN CONSIDERATION Reliability Energy :There are four way in which node consume energy Sensing Computation Storing Communication

CHARACTERISTICS &APPLICATION Applications: Industries Transportation Manufacture Health care Environmental oversight Safety & Security. Characteristics: Support large numbers of sensor. Dense sensor distributions

CHARACTERISTICS &APPLICATION These sensor are also developed to support short distance RF communication Internet access to sensors, controls and processor Low average bit rate communication(<1-100kbps) Exploit the short distance seperation. Multihop communication.

Conclusion Densely distributed sensor networks (physical constraints) Layered and heterogeneous processing 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.