Backup Path with Energy Prediction Based on Energy-Aware Spanning Tree in Wireless Sensor Networks

In order to decrease the energy consumption and to prolong the network lifetime, the energy-aware spanning tree as a data aggregation technique has been used in wireless sensor networks. Nevertheless, the energy constraint caused by the global reconstruction still severely influences the performance of the sensor system. Our approach aims to reduce the occurrence of the global reconstruction through the backup path. In addition, in order to prevent the redundant paths, a dynamic prediction method is proposed in order to adaptively estimate the possibility of the node failure. The theoretical analysis and simulations demonstrate the efficient performance of the proposed approach.