Abstract
In order to improve energy efficiency, Compressive Sensing has been employed gradually in the process of gathering data and transmitting information of sensors. In this paper, a mixed idea has been proposed based on classification for actual environments. At its heart lies a simple yet effective thought that the number of transmission of bottom sensors by no-CS schemes is less than ones by CS. In experiments, our scheme has been proved valuable and feasible.
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Acknowledgments
This work is supported by the National High Technology Research and Development Program (863 Program) of China (2015AA01A201), National Science Foundation of China under Grant No. 61402394, 61379064, 61273106, National Science Foundation of Jiangsu Province of China under Grant No. BK20140462, Natural Science Foundation of the Higher Education Institutions of Jiangsu Province of China under Grant No. 14KJB520040, 15KJB520035, China Postdoctoral Science Foundation funded project under Grant No. 2016M591922, Jiangsu Planned Projects for Postdoctoral Research Funds under Grant No. 1601162B, JLCBE14008, and sponsored by Qing Lan Project.
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Tang, KM., Yang, H., Liu, Q., Wang, CK., Qiu, X. (2016). Compressive Sensing Based on Energy-Efficient Communication. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_16
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DOI: https://doi.org/10.1007/978-3-319-48674-1_16
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