Micro air vehicle with nano-sensors to capture the enemy's arsenal

Abstract

In this paper, the self organizing neural network approach is proposed in the micro air vehicle, inducted with nano-sensors to capture the enemy's arsenal. It is proposed that the nano-sensors sense the given locations. By using self organizing feature the micro air vehicle flies to the desired locations and capture the objects. The micro air vehicle starts from the base station once all the locations are programmed. The concept of travelling salesman problem (TSP) is used in the micro air vehicle. So the air vehicle flies to the various locations and return back to the initial location. The efficiency of the proposed method is simulated to show its effectiveness.