Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering

@article{Luo2010EfficientMG,
  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},
  year={2010},
  volume={9},
  pages={3728-3738}
}
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
Highly Influential
This paper has highly influenced 14 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 192 citations. REVIEW CITATIONS
97 Extracted Citations
39 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 97 extracted citations

193 Citations

02040'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 193 citations based on the available data.

See our FAQ for additional information.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 39 references

Similar Papers

Loading similar papers…