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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 975–979Cite as

A Low Energy Consumption Ocean Environment Information Collection System Designing

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

Abstract

Research on sensory networks for marine environmental information acquisition has received more and more attention. However, the underwater wireless sensor network has the characteristics of limited bandwidth and energy consumption. Therefore, by using the sparseness of sensor node data in frequency domain and space domain, this paper proposes a dual-domain compression sensing (DCS) low-energy ocean environment information collection scheme. The scheme uses the sparsity of the frequency domain for information recovery, thereby further saving the control overhead of the sink node’s downstream sending address frame. Through the result of simulation, it is found that the scheme proposed in this paper is better than the previous IDMA multiple access detection scheme in terms of energy consumption.

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References

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Acknowledgments

This work is supported in part by National Natural Science Foundation of China (No. 61401118 and No. 61671184), Natural Science Foundation of Shandong Province (No. ZR2018PF001 and No. ZR2014FP016), the Fundamental Research Funds for the Central Universities (No. HIT.NSRIF.201720 and HIT.NSRIF.2016100), and the Scientific Research Foundation of Harbin Institute of Technology at Weihai (No. HIT(WH)201409 and No. HIT(WH)201410).

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Authors and Affiliations

  1. Harbin Institute of Technology (Weihai), Weihai, China

    Qiuming Zhao, Hongjuan Yang & Bo Li

Authors
  1. Qiuming Zhao
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  2. Hongjuan Yang
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  3. Bo Li
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Corresponding author

Correspondence to Bo Li .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Cite this paper

Zhao, Q., Yang, H., Li, B. (2020). A Low Energy Consumption Ocean Environment Information Collection System Designing. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_118

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  • DOI: https://doi.org/10.1007/978-981-13-6508-9_118

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

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