Robust Compressive Data Gathering in Wireless Sensor Networks

@article{Tang2013RobustCD,
  title={Robust Compressive Data Gathering in Wireless Sensor Networks},
  author={Yu Tang and Bowu Zhang and Tao Jing and Dengyuan Wu and Xiuzhen Cheng},
  journal={IEEE Transactions on Wireless Communications},
  year={2013},
  volume={12},
  pages={2754-2761}
}
Compressive data gathering, which is based on the recent breakthroughs in compressive sensing theory, has been proposed as a viable approach for sensor network data collection at low communication overhead. Nevertheless, it suffers from a low data recovery accuracy when outlying sensor readings and broken links exist. In this paper, we investigate the impact of outlying sensor readings and broken links on high-fidelity data gathering, and propose approaches based on the compressive sensing… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

Robust Compressive Reconstruction Algorithm for Eliminating Sampling and Measurement Impulsive Noise

2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) • 2017
View 5 Excerpts
Highly Influenced

Privacy preserving node selection: A physical layer approach

2015 49th Annual Conference on Information Sciences and Systems (CISS) • 2015
View 4 Excerpts
Highly Influenced

An Adaptive Dynamic Topology WSN Data Collection Method Based on Compressive Sensing

2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC) • 2018
View 1 Excerpt

Robust reconstruction model for compressive data gathering in wireless sensor networks

2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) • 2017
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 32 references

An Introduction To Compressive Sampling

IEEE Signal Processing Magazine • 2008
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…