Achieving Power Conservation for Target Tracking in Wireless Sensor Networks

In many surveillance applications of WSNs (Wireless Sensor Networks), tracking a mobile target is one of the main objectives. When nodes are tracking a target, the tracking performance can be improved only if moving path of the target can be predicted and nodes along the moving path can be awakened. Sleep scheduling protocol is proposed in this project for improving the energy efficiency of sensor nodes. Here a target prediction method is based on both kinematics and probability in which kinematics is used to predict the motion of the target and probability is used to predict the directional changes of the actual target motion. The protocol selects the node to be awakened in order to reduce the active time of individual node. Thus by power conservation can be achieved. It also sends the prediction details to base station. The protocol also makes the network scalable.