Modelling and Simulation of a Sensor Network for Tracking a Moving Object

We present a framework for modelling and simulating the distributed wireless sensor network. We modelled the object detection and tracking scenario using acoustic sensors and developed a simulator for simulating it. Kalman filtering approach is applied to reduce the noise and to smoothen the data. Simulations´ results are presented to illustrate the performance of the developed model. Possible applications might be vehicular traffic monitoring in highways, detecting and tracking people movement in secured areas, tracking & navigating mobile robots, tracking animals´ movement, and surveillance of hazardous regions.