Abstract

Focusing on the application command and signals characteristics of Large-Scale Wireless Sensor Network (LsWSN), we involved Compressive Sensing (CS) Theory into Wireless Sensor Network (WSN) to deeply research. Considering unknown sparsity in reality application, we proposed TIMP algorithm involving threshold iterative, and realized the self-adaptive in sparsity and iterative step length, which truly realized the application in LsWSN. Experiment results show that, comparing with traditional algorithms, novel TIMP has great advantages in signal's recovery speed, accuracy and system stability, which speeds up the widely application of using CS in LsWSN.

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