A Dynamic Programming Adaptive Model for Effective Target Tracking in WSN

Sensor network is the real time critical network with specification of normal and specialized sensor nodes. These specialized sensor nodes require the continuous energy backup and regular monitoring. In this paper, a parameter adaptive dynamic programming model is provided to improve the target tracking. At the earlier stage of this model, the node features are explored in terms of energy and fault evaluation. Later on, the dynamic programming method was defined to achieve effective target tracking. The work model is implemented in matlab environment. The results show that the method has improved the network life.