Distributed Compressed Fire Signal Sensing Based on Unbalance Expander

In wireless sensor networks, the huge power consumption of part of nodes brings great hardship for various applications, which is caused by the unbalanced data transmission and calculation. Combined with bipartite graph thought in graph theory distributed compressive sensing network architecture based on unbalanced expander is proposed in this paper. 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.