Abstract
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.
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Zhuang, Z., Wei, C., Li, F. (2012). Distributed Compressed Sensing Based on Bipartite Graph in Wireless Sensor Networks. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_40
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DOI: https://doi.org/10.1007/978-3-642-31020-1_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31019-5
Online ISBN: 978-3-642-31020-1
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