An Improved Spatial-Temporal Correlation Algorithm of Wsns Based on Compressed Sensing
Xin Xie, Jianan Wang, Fengping Hu, Nan Jiang, Songlin Ge · 2017
The energy of the sensor network nodes is limited, and in order to save the energy consumption of the sensor nodes, a compressed sensing method based on the spatial-temporal correlation of nodes is proposed. The LEACH algorithm is used to cluster the network nodes and select the cluster head. Then, the cluster head node is sampled by the compressed sensing theory. The sampled data is passed to the remote sink node through multi-hop routing. Finally, a small amount of data from the cluster head uses a reconstruction algorithm to recover the data for each node. The simulation results show that the method can effectively reduce the amount of data transmission, save the energy consumption of nodes and prolong the lifetime of the wireless sensor network.