抽象的

Smart Dust for Tactical Border Surveillance to Detect, Classify and Track Enemy Intrusion Using Acoustic- Magnetic-Thermal-Vibration Signatures

Kishore Kumar S, Dr. R. Senthil Kumar

The greatest threat to national security is “Terrorism” infiltrating through borders. In critical border areas such as Kashmir and Bangladesh regular forces or even satellites cannot monitor these intruding terrorists as the area monitored is quite large and quite complex. This project provides an innovative and effective solution to this problem. The project aim is to design a next generation intelligent ultra-small dust like wireless sensor motes which has multiple onboard sensors and a controller, which has the ability to detect an enemy intrusion across borders and battlefields. Thousands of these smart dust motes can be deployed within a large area in a few hours by one or two men. These motes can form a network on its own among them, are small in size, rapidly deployable, have wireless connection to outside world. They detect the intrusion and classify it into vehicles or individuals and groups. Onboard hardware include a variety of sensors for vibration/seismic, magnetic, acoustic and thermal signature recognition, an microcontroller for processing these sensor values and a radio transceiver for communication over a wireless network. The system (Smart Dust) process the sensor readings, classify the targets and the tracking history can be viewed in the Graphics LCD display attached in the central monitoring unit. The central monitoring node acts as the parent node in a peer to peer wireless network model. The dust motes communicate with central parent node using wireless radio network.