Distributed data compressing based on stable ratio between WSN nodes outputs

By exploiting the inter and intra-signal correlation structures of the nodes in clustered wireless sensor network(WSN), this paper proposes a distributed sparsity model under the condition of nodes monitoring the same physical circumstance, which is based on the outputs ratios between any two homogeneous nodes is stable in a cluster. Based on the model, a distributed compressed sensing algorithm is presented for compressing non-sparsely signals of clustered WSN. The simulation results show that, compared with the traditional method of data compression, the proposed algorithm is able to restore signals precisely in reducing the number of nodes´ observations cases, and is appropriate for data compressing of clustered WSN in energy efficiency way.