02-06-2012, 01:17 PM
BORDER SECURITY USING WIRELESS INTEGRATED NETWORK SENSOR
BORDER%20SECURITY.pdf (Size: 365.05 KB / Downloads: 464)
INTRODUCTION
Wireless Integrated Network Sensors (WINS) combine sensing, signal
processing, decision capability, and wireless networking capability in a compact low
power system. Compact geometry and low cost allows WINS to be embedded and
distributed at a small fraction of the cost of conventional wireline sensor and actuator
systems.
For example, 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, wide area scale, battle field situational awareness will provide
personal health monitoring and enhance security and efficiency. Also, on a
metropolitan scale, new traffic, security, emergency, and disaster recovery services
will be enabled by WINS. On a local, enterprise scale, WINS will create a
manufacturing information service for cost and quality control.
WINS SYSTEM ARCHITECTURE
The primary limitation on WINS node cost and volume arises from power
requirements and the need for battery energy sources. As will be described, low
power sensor interface and signal processing architecture and circuits enable
continuous low power monitoring. However, wireless communication energy
requirements present additional severe demands. Conventional wireless networks are
supported by complex protocols that are developed for voice and data transmission for
handhelds and mobile terminals.
WINS NODE ARCHITECTURE
The Wins node architecture (figure1) is developed to enable continuous
sensing, event detection, and event identification at low power. Since the event
detection process must occur continuously, the sensor, data converter, data buffer, and
spectrum analyser must all operate at micro power levels. In the event that an event is
detected, the spectrum analyser output may triggered the microcontroller may then
issue commands for additional signal processing operation for identification of the
event signal. Protocols for node operation then determine whether a remote user or
neighbouring WINS node should be alerted. The WINS node then supplies an
attribute of the identified event, for example, the address of the event in an event
look-up-table stored in all network nodes. Total average system supply currents must
be less than 30A.
WINS MICROSENSORS
Source signals (seismic, infrared, acoustics and others) all decay in
mplitude rapidly with radial distance from the source. To maximize detection
range, sensor sensitivity must be optimized. In addition, due to the
fundamental limits of background noise, a maximum detection range exists for
any sensor. Thus, it is critical to obtain the greatest sensitivity and to develop
compact sensors that may be widely distributed.
BORDER%20SECURITY.pdf (Size: 365.05 KB / Downloads: 464)
INTRODUCTION
Wireless Integrated Network Sensors (WINS) combine sensing, signal
processing, decision capability, and wireless networking capability in a compact low
power system. Compact geometry and low cost allows WINS to be embedded and
distributed at a small fraction of the cost of conventional wireline sensor and actuator
systems.
For example, 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, wide area scale, battle field situational awareness will provide
personal health monitoring and enhance security and efficiency. Also, on a
metropolitan scale, new traffic, security, emergency, and disaster recovery services
will be enabled by WINS. On a local, enterprise scale, WINS will create a
manufacturing information service for cost and quality control.
WINS SYSTEM ARCHITECTURE
The primary limitation on WINS node cost and volume arises from power
requirements and the need for battery energy sources. As will be described, low
power sensor interface and signal processing architecture and circuits enable
continuous low power monitoring. However, wireless communication energy
requirements present additional severe demands. Conventional wireless networks are
supported by complex protocols that are developed for voice and data transmission for
handhelds and mobile terminals.
WINS NODE ARCHITECTURE
The Wins node architecture (figure1) is developed to enable continuous
sensing, event detection, and event identification at low power. Since the event
detection process must occur continuously, the sensor, data converter, data buffer, and
spectrum analyser must all operate at micro power levels. In the event that an event is
detected, the spectrum analyser output may triggered the microcontroller may then
issue commands for additional signal processing operation for identification of the
event signal. Protocols for node operation then determine whether a remote user or
neighbouring WINS node should be alerted. The WINS node then supplies an
attribute of the identified event, for example, the address of the event in an event
look-up-table stored in all network nodes. Total average system supply currents must
be less than 30A.
WINS MICROSENSORS
Source signals (seismic, infrared, acoustics and others) all decay in
mplitude rapidly with radial distance from the source. To maximize detection
range, sensor sensitivity must be optimized. In addition, due to the
fundamental limits of background noise, a maximum detection range exists for
any sensor. Thus, it is critical to obtain the greatest sensitivity and to develop
compact sensors that may be widely distributed.