Energy-Efficient Target Tracking Algorithm for WSNs

Abstract

In order to solve the problem of node energy consumption in wireless sensor networks, an energy-efficient tracking cluster structure is proposed. The structure of the tracking cluster is determined by the cooperation between the auxiliary node and the cluster head node, and avoids the redundant nodes participating in the tracking. In order to balance the energy consumption of cluster head nodes, the method predict the position of target in next time by making auxiliary nodes track algorithm, then according to the prediction results, the nodes near prediction position are woken up in advance to reduce the energy consumption in the whole net. In the process of tracking, the loss recovery mechanism is adopted to solve the target loss phenomenon, and the continuous tracking of the target is completed. Finally, experiments are carried out with the improved particle filter algorithm. The simulation results show that the proposed algorithm can reduce the energy consumption of the nodes under the condition that the tracking accuracy is satisfied. Make the whole network energy consumption more balanced.