Balanced spatio-temporal compressive sensing for multi-hop wireless sensor networks

@article{Mahmudimanesh2012BalancedSC,
  title={Balanced spatio-temporal compressive sensing for multi-hop wireless sensor networks},
  author={Mohammadreza Mahmudimanesh and Abdelmajid Khelil and Neeraj Suri},
  journal={2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012)},
  year={2012},
  pages={389-397}
}
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a compressible signal from a few random linear measurements. CS theory has applications in sensory systems where acquiring individual samples is either expensive or infeasible. A Wireless Sensor Network (WSN) is a distributed sensory system comprised of resource-limited sensor nodes. Transferring all the recorded samples in a WSN can easily result in data traffic that can exceed the network capacity… CONTINUE READING
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