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Reconstruction of Path using Compressive Sensing in Dynamic Wireless Sensor Network
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 can be recovered from a small amount ofdoi:10.17148/ijireeice.2017.5429 fatcat:t3d56tzpmnf6lmxdtyrsfbxhti