Tracking of multiple objects in WSN based on prediction-based profile using GA

Research of object tracking in a wireless sensor network (WSN) has recently been increasing. One of the issues in this area is how to enhance prediction of tracking multiple objects. The proposed scheme improves object tracking prediction, and tracks not only one object but also multiple objects. The proposed scheme codes a profile as a chromosome based on the theory of genetic algorithm (GA), and selects a sufficiently good profile that can improve the prediction of multiple object tracking.