Optimal object tracking via wireless sensor networks

This paper implements an algorithm that used applications that can monitor a movable limited target such as moving object. The object tracking is based on mathematical prediction of object location in order to activate the proper required sensors that is used to measure its actual location. Fuzzy clustering is being used in order to achieve fast and reliable cluster head determination. This paper implements a new activation algorithm based on smart prediction with least number of sensors that ensure a reliable target tracking with a minimal number of active nodes. The prediction of the next location is being done in polar coordinates, so a half circle of sensors will be activated only. The moving object will be considered to be the center of the half circle of active nodes. This algorithm induce to run the minimal active nodes while the rest of network in sleep.