Compressive network coding for wireless sensor networks

摘要: Considering the temporal and spatial correlations of sensor readings in wireless networks (WSNs), this paper develops a clustered spatio-temporal compression scheme by integrating network coding (NC), compressed sensing (CS) for correlated data. The proper selection NC coefficients measurement matrix is investigated scheme. This design ensures successful reconstruction original data with considerably high probability enables deployment CS real field. Moreover, contrast to other schemes same computational complexity, proposed possesses lower error employing independent encoding each node (including cluster head nodes) joint decoding sink node. In order further reduce error, we construct new optimization model A distributed algorithm developed iteratively determine optimal solution. Finally, simulation results verify that outperforms two categories significantly terms recovery gain converges solution fast stable speed.