Neighbor-Aided Spatial-Temporal Compressive Data Gathering in Wireless Sensor Networks

@article{Quan2016NeighborAidedSC,
  title={Neighbor-Aided Spatial-Temporal Compressive Data Gathering in Wireless Sensor Networks},
  author={Lei Quan and Song Xiao and Xiao Xue and Cunbo Lu},
  journal={IEEE Communications Letters},
  year={2016},
  volume={20},
  pages={578-581}
}
The integration between data collection methods in wireless sensor networks (WSNs) and compressive sensing (CS) provides energy efficient paradigms. Single-dimensional CS approaches are inapplicable in spatial and temporal correlated WSNs while the Kronecker compressive sensing (KCS) model suffers performance degradation along with the increasing data dimensions. In this letter, a neighbor-aided compressive sensing (NACS) scheme is proposed for efficient data gathering in spatial and temporal… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

References

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

Kronecker Compressive Sensing

IEEE Transactions on Image Processing • 2012
View 13 Excerpts
Highly Influenced

Neighborhood based data collection in Wireless Sensor Networks employing Compressive Sensing

2014 International Conference on Advanced Technologies for Communications (ATC 2014) • 2014
View 2 Excerpts

Compressed sensing

IEEE Transactions on Information Theory • 2006
View 1 Excerpt

tiotemporal compressive network coding for energy - efficient distributed data storage in wireless sensor networks

M. Codreanu Leinonen, M. Juntti
IEEE Communications Letters

Similar Papers

Loading similar papers…