The Dynamic Region Division GAF Algorithm Based on Compressed Sensing

Wireless sensor network node energy consumption when there is a large amount of data is too large, death too fast, cause the network of the problem of short lifetime, this paper put forward a GAF algorithm by compressed sensing in the cluster heads to compresses data under the condition of dynamic network area in wireless sensor network. On the one hand, compressed sensing on the compression side simple calculation, construction side computing complex characteristic, through to the signal sparse transform and observation dimension reduction, effectively reduce the cluster heads need to send the amount of data, reduce the network energy consumption. On the other hand, according to the sparse degree of node distribution to rationally divided variable dynamic area, can balance the network energy consumption. The simulation results show that the dynamic region division GAF algorithm based on compressed sensing in wireless sensor network can save the energy consumption and extend the network lifetime in the case of the output good result signal.