Residual Energy Monitoring Method for Wireless Sensor Networks Based on Time Series

In order to analyze the energy consumption of packet nodes and accurately monitor the residual energy of wireless sensor network nodes, a time series-based method for monitoring the residual energy of nodes is proposed. The ARMA time series analysis model is constructed, which is used to fuse the wireless sensor network data. The cluster head is selected by the principle of energy priority. The cluster head uses the multi-hop method to transmit the fused data, and obtains the best energy consumption path from the cluster head to the base station; The energy consumption of cluster head nodes from sleep to restart is not considered. The energy consumption of wireless sensor network information transmission and the energy consumption of cluster head nodes when changing their own state are calculated. Only the energy consumption of network nodes in the process of transmitting fusion information under normal conditions is monitored, and the residual energy of wireless sensor network nodes is monitored. Experiments show that this method can effectively fuse the data in the network, and can realize the real-time, intuitive and accurate monitoring of the residual energy of wireless sensor network nodes.