Optimal Sensor Deployment for Object Recognition Using Artificial Intelligence Methods
In this era of rapid intelligent sensor systems, one practical goal of sensor deployment in the design of distributed sensor systems is to achieve an optimal monitoring and surveillance of a target region. Since environmental condition and target characteristic are two parameters which can change sensors values in target recognition so for achieving highest target recognition rate, sensors must be deployed intelligently. The intelligent sensor deployment for monitoring operations and target detection is one of the serious subjects to reduce information processing time and increasing information fusion accuracy. This paper attempts to design an intelligent sensor deployment service to detect the presence or absence of a target in a region with obstacles by using optimization algorithms and neural network.