Abstract
A novel data aggregation method of WSN based on low-energy adaptive clustering hierarchy compressed sensing (LEACH-CS) is presented to resolve the contradiction between data accuracy and energy consumption in sensor nodes. It considers the sparsity of the sensed data in wireless sensor networks (WSNs). At the proposed method, the LEACH protocol is adopted to select cluster head and cluster formation from the random arrangement of sensor nodes, and the Gaussian random matrix is utilized to linearly compress sensor data by each cluster head. Then the compressed information is transmitted to the base station (BS). It reduces data transmission and energy consumption, thus improving the lifetime of network. According to sensor data being of regional smoothness, the differential transformation regularization is adopted to reconstruct receiving linear compression projection information by the BS. Simulation experiments show that the data aggregation method of WSNs based on cluster compressed sensing can guarantee data accuracy collected, and improves the network lifetime at the same time.
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Acknowledgments
This work is supported by National Natural Science Foundation of China (No. 31101081, No. 61162015).
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Liu, Y., Zhao, W., Zhu, L., Ci, B., Chen, S. (2015). The Method of Data Aggregation for Wireless Sensor Networks Based on LEACH-CS. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W. (eds) Advances in Wireless Sensor Networks. CWSN 2014. Communications in Computer and Information Science, vol 501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46981-1_47
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DOI: https://doi.org/10.1007/978-3-662-46981-1_47
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