Distributed sparse random projections for refinable approximation
Proceedings of the 6th international conference on Information processing in sensor networks
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
SUTC '10 Proceedings of the 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing
Anonymizing Social Network Using Bipartite Graph
ICCIS '10 Proceedings of the 2010 International Conference on Computational and Information Sciences
IEEE Transactions on Information Theory
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In this paper, Combined with bipartite graph thought in graph theory distributed compressive sensing network architecture based on unbalanced expander is proposed. Meanwhile we've designed the distributed algorithm corresponding with the architecture. And we apply the distributed compressive sensing network based on unbalanced expander to the fire ground simulation experiment, through analysis of the mean square error and signal-to-noise ratio, we prove the proposed model not only takes good effect on reducing nodes' energy consumption but also ensuring the performance for the signal reconstruction in noisy and noise-free case.