10-04-2017, 09:21 PM
Abstract
This paper proposes a new system that provides security to the mother land by using concepts of Wireless Integrated Network Sensors, GPS tracking and object and metal detection and tacking of vehicles with in the country. It provides a new monitoring and control capability for monitoring the borders of the country. Using this concept we can easily identify a stranger or any object crossing the border where the army cannot reach in regular. Using the satellite communication and GPS tracking the area will be identified. By Object identification system we will be able to get the pictures of that particular area where the strangers has come as well as the details of objects or people who are present there. And later the metal detecting sensors and bomb detection signals will detect the existence of explosives and weapons(metals) with them. 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 then sends appropriate signals and the frequency measured by that sensor to the main node. Thus the stranger is identified at the main node. Hence it is reasonably faster. On a global scale, WINS will permit monitoring of land, water, and air resources for environmental monitoring. With this we will be able to identify the objects and the movement, direction of their movement and the kind of metals they have. After discussing with the military authorities we will be able to plan the actions to be taken against them. Presently the Indian government is planning to implement the same technology for tracking the vehicles with in the country which carry illegal commodities ( like government issued sugar , rice to be distributed among masses but send to other states without legal permission). The vehicles which carry explosive materials for industrial purposes can be tracked. The missing vehicles during transportation due to var- - ious reasons(terrorists attacks) can be easily identified.
