Distributed Compressive Sensing in WSN

In order to solve the problem of sampling with Compressive Sensing(CS) in Wireless Sensor Network(WSN),the method of Randomly Compressive Sampling is studied,which uses Timer to control Analogy to Digital Converter.The experimental results show that the method is effective and feasible.On the basis of this,a new algorithm of Distributed Compressive Sensing in WSN is proposed,which realizes Distributed Compressive Sampling through distributing the random sequence.Then the algorithm of CoSaMP was used to reconstruct original signal with the joined sampling values.Simulation and experiment show that the proposed method can achieve analogy signal collection with a sampling frequency below 1 /10 percentage of standard sampling frequency in a star network topology.