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.