Path Reconstruction in Dynamic Wireless Sensor Networks Using Compressive Sensing

@article{Liu2016PathRI,
  title={Path Reconstruction in Dynamic Wireless Sensor Networks Using Compressive Sensing},
  author={Zhidan Liu and Zhenjiang Li and Mo Li and Wei Xing and Dongming Lu},
  journal={IEEE/ACM Trans. Netw.},
  year={2016},
  volume={24},
  pages={1948-1960}
}
This paper presents CSPR, a compressive-sensing-based approach for path reconstruction in wireless sensor networks. By viewing the whole network as a path representation space, an arbitrary routing path can be represented by a path vector in the space. As path length is usually much smaller than the network size, such path vectors are sparse, i.e., the majority of elements are zeros. By encoding sparse path representation into packets, the path vector and thus the represented routing path can… CONTINUE READING

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