This document discusses wireless integrated network sensors (WINS) for border security. WINS were developed in the 1990s by DARPA to allow distributed sensor networks to operate using very low power. The key points are:
1. WINS nodes can detect intrusions using very little power (microwatts), making them cheaper than conventional radar systems.
2. A typical WINS network architecture involves distributed sensor nodes that detect events, process signals locally, communicate with each other, and transmit alerts.
3. WINS applications include environmental monitoring, infrastructure monitoring, and border security due to their low-cost, distributed nature.
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
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. 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.
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
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. 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.
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
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. 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.
A Border security Using Wireless Integrated Network Sensors (WINS)Saurabh Giratkar
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. 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.
WIVI is based on the principle of RADAR and SONAR imaging which works on Doppler’s effect. RADAR is an Object detection system which uses waves to determine the range, altitude, direction or speed of objects.Depends on its own transmitting signal.
With the advancements in wireless technology and digital electronics, some tiny devices have started to be used in numerous areas in daily life. These devices are capable of sensing, computation and communicating. They are generally composed of low power radios, several smart sensors and embedded CPUs (Central Processing Units). These devices are used to form wireless sensor network (WSN) which is necessary to provide sensing services and to monitor environmental conditions. In parallel to WSNs, the idea of internet of things (IoT) is developed where IoT can be defined as an interconnection between identifiable devices within the internet connection in sensing and monitoring processes. This paper presents detailed overview of WSNs. It also assesses the technology and characteristics of WSNs. Moreover, it provides a review of WSN applications and IoT applications.
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WIVI is based on the principle of RADAR and SONAR imaging which works on Doppler’s effect. RADAR is an Object detection system which uses waves to determine the range, altitude, direction or speed of objects.Depends on its own transmitting signal.
With the advancements in wireless technology and digital electronics, some tiny devices have started to be used in numerous areas in daily life. These devices are capable of sensing, computation and communicating. They are generally composed of low power radios, several smart sensors and embedded CPUs (Central Processing Units). These devices are used to form wireless sensor network (WSN) which is necessary to provide sensing services and to monitor environmental conditions. In parallel to WSNs, the idea of internet of things (IoT) is developed where IoT can be defined as an interconnection between identifiable devices within the internet connection in sensing and monitoring processes. This paper presents detailed overview of WSNs. It also assesses the technology and characteristics of WSNs. Moreover, it provides a review of WSN applications and IoT applications.
Underwater Wireless Communication is the wireless communication in which acoustic signals (waves) carry digital information through an underwater channel.
Smart cameras capture high-level descriptions of a scene and perform real-time analysis of what they see. These low-cost, low-power systems push the design space in many dimensions, making them a leading-edge
application for embedded system research.
Accident Detection and Ambulance Triggered Traffic Management SystemsSachin Kumar Asokan
This was a project that I worked on during my undergraduate degree where the main goal was to understand how electrical engineering & technology can impact our daily lives in a resourceful and positive way. This model was picked for a honorable mention in the competition.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
3. OVERVIEW
WINS introduction.
Evolution.
Working principle.
System Architecture.
Node Architecture.
Digital Signal Processing.
Applications.
Design Consideration & packaging
Advantages & Disadvantages.
Future Scope.
Conclusion.
Reference.
4. INTRODUCTION OF WINS
WINS:
Require a few microwatt of power to operate
so it is cheaper then the conventional radar
system.
It produce a less amount delay
to detect target and reasonably
faster.
5. EVOLUTION OF WINS
WINS initiated in 1993
under defense advance
Research project agency
(DARPA) IN US.
LWIM program began in1995.
8. WINS NODE ARCHITECTURE
1998 WINS NG developed by the authors: contiguous sensing,
signal processing for even detection local control of actuators,
event classification , communication at low power
1.Event detection is contiguous: micro power levels
2.Event detected =alert process to indentify the event.
3.Further processing
4.Comunication between WINS nodes
10. DIGITAL SIGNAL PROCESSING
If a stranger enters the borders , his foot-
steps will generate harmonic signals.
If can be detector as a characteristics feature
in a signal power spectrum.
The spectrum analyzer resolve the WINS
input data into a low resolution power
spectrum .
12. DESIGN CONSIDERATION & PACKAGING
Reliability
Energy: There are four way in which node consume energy
a. Sensing
b. Computation
c. Storing
d. Communicating
13. ADVANTAGES & DISADVANTAGES
Advantages:
It avoid hell lot of wiring
It can accommodate new devices at any time
Its flexible to go through physical partition.
It is very cheaper ,faster ,can be accessed in shorter distances ,having
less amount of delay and also power consumption is in the order of
microwatt.
Disadvantages:
Its easy for hackers to hack it as we can’t control propagation of waves.
Comparatively low speed of communication.
Still costly at large.
14. FUTURE SCOPE
To exploit redundancy
To employ more efficient technique for fault
tolerance.
To maximize the life time of sensor nodes.
To provide efficient energy harvesting
techniques.
15. CONCLUSION
Densely distributed sensor networks.
Application specific networking architectures.
Developments platforms are now available.
The network is self monitoring and secure