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An Energy-Efficient Data Gathering Based on Compressive Sensing

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

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Abstract

To energy-efficient communication, Compressive Sensing (CS) has been employed gradually. This paper proposes a data gathering scheme based on CS. The network is divided into several blocks and each block sends data to the sink for reconstruction. Experiments demonstrate that our algorithm is feasible and outperforms other schemes.

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Acknowledgements

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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Authors and Affiliations

  1. School of Information Engineering, Yancheng Teachers University, Yancheng, China

    Ke-Ming Tang, Hao Yang, Xin Qiu & Lv-Qing Wu

Authors
  1. Ke-Ming Tang
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  2. Hao Yang
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  3. Xin Qiu
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  4. Lv-Qing Wu
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Corresponding author

Correspondence to Hao Yang .

Editor information

Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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Tang, KM., Yang, H., Qiu, X., Wu, LQ. (2016). An Energy-Efficient Data Gathering Based on Compressive Sensing. 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_12

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  • DOI: https://doi.org/10.1007/978-3-319-48674-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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