Evolutionary autonomous agent-based target tracking system

In this paper, we present an evolutionary technique for an agent-based surveillance and target tracking system. The proposed system is composed of two stages. The first stage is the optimization of a network of ultrasonic sensors within a pre-specified coverage area. In phase two, the target tracking phase, sensors are activated based on need according to the tracking requirement of the moving object. Unneeded sensors are kept in a low-power stand-by state to optimize power usage and hence minimize human intervention for maintenance purpose. A centralized server communicates with sensor agents to power-up those needed for proper tracking of the moving object.