Wireless Integrated Network Sensor for Border Security

Wireless Integrated Network Sensors (WINS) now provide a new monitoring and control capability for monitoring the borders of the country. WINS combine sensing, signal processing, decision capability, and wireless networking capability in a compact, low power system. 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 is collected using the sensor. This sensed signal is then converted into power spectral density and then compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system. But it is very cheaper when compared to other security systems such as RADAR under use. It produces a less amount of delay. Hence it is reasonably faster.

[1]  Praveen Budhwar,et al.  TinyOS: An Operating System for Wireless Sensor Networks , 2015 .

[2]  Emin Gün Sirer,et al.  On the need for system-level support for ad hoc and sensor networks , 2002, OPSR.

[3]  Tarek F. Abdelzaher,et al.  The LiteOS Operating System: Towards Unix-Like Abstractions for Wireless Sensor Networks , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[4]  Thomas A. Henzinger,et al.  Giotto: a time-triggered language for embedded programming , 2001, Proc. IEEE.

[5]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.

[6]  Gregory J. Pottie,et al.  Development platform for self-organizing wireless sensor networks , 1999, Defense, Security, and Sensing.

[7]  José E. Franca,et al.  Design of Analog-Digital VLSI Circuits for Telecommunications and Signal Processing , 1993 .

[8]  Muneeb Ali,et al.  Protothreads: simplifying event-driven programming of memory-constrained embedded systems , 2006, SenSys '06.

[9]  Miodrag Potkonjak,et al.  Exposure in wireless Ad-Hoc sensor networks , 2001, MobiCom '01.

[10]  G. Asada,et al.  Wireless integrated network sensors: Low power systems on a chip , 1998, Proceedings of the 24th European Solid-State Circuits Conference.

[11]  William J. Kaiser,et al.  Low power signal processing architectures for network microsensors , 1997, Proceedings of 1997 International Symposium on Low Power Electronics and Design.

[12]  David E. Culler,et al.  The nesC language: A holistic approach to networked embedded systems , 2003, PLDI.