Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering

  title={Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering},
  author={Chong Luo and Feng Wu and Jun Sun and Chang Wen Chen},
  journal={IEEE Transactions on Wireless Communications},
We proposed compressive data gathering (CDG) that leverages compressive sampling (CS) principle to efficiently reduce communication cost and prolong network lifetime for large scale monitoring sensor networks. The network capacity has been proven to increase proportionally to the sparsity of sensor readings. In this paper, we further address two key problems in the CDG framework. First, we investigate how to generate RIP (restricted isometry property) preserving measurements of sensor readings… CONTINUE READING
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