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Research on Efficient Data Collection Strategy of Wireless Sensor Network

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Wireless Sensor Networks (CWSN 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1321))

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Abstract

Recently, compressed sensing (CS) has been widely studied to collect data in wireless sensor network (WSN), which usually adopts greedy algorithm or convex optimization method to reconstruct the original signal, but noise and data packet loss are not considered in the compressed sensing (CS) model. Therefore, this paper proposes an efficient data collection strategy based on Bayesian compressed sensing (BCS-DCS) to improve the performance of data acquisition performance and network lifetime. Firstly, adopt a random packet loss matrix to update the compressed sensing (CS) model and employ Bayesian method to reconstruct the original signal. Then, according to the covariance of the reconstructed signal and the energy constraint of the sensor nodes, construct the active node selection optimization framework to optimize the node selection matrix quickly and effectively. Simulation results show that the efficient data collection strategy based on Bayesian compressed sensing (BCS-DCS) proposed in this paper can improve the signal acquisition performance and lifetime of wireless sensor network (WSN).

Foundation Item: Natural Science Foundation of Zhejiang Province, China (No. LY16F020005).

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Authors and Affiliations

  1. School of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, 321004, China

    Gaocun Lv, Hui Wang & Yuchen Shan

  2. College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, 321004, China

    Lingguo Zeng

Authors
  1. Gaocun Lv
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  2. Hui Wang
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  3. Yuchen Shan
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  4. Lingguo Zeng
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Corresponding author

Correspondence to Hui Wang .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering Department, Northwest Normal University, Lanzhou, China

    Zhanjun Hao

  2. Computer Science and Engineering Department, Northwest Normal University, Lanzhou, China

    Xiaochao Dang

  3. Computer Science and Engineering Department, Northwest Normal University, Lanzhou, China

    Honghong Chen

  4. Computer Science and Engineering Department, Northwest Normal University, Lanzhou, China

    Fenfang Li

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Lv, G., Wang, H., Shan, Y., Zeng, L. (2020). Research on Efficient Data Collection Strategy of Wireless Sensor Network. In: Hao, Z., Dang, X., Chen, H., Li, F. (eds) Wireless Sensor Networks. CWSN 2020. Communications in Computer and Information Science, vol 1321. Springer, Singapore. https://doi.org/10.1007/978-981-33-4214-9_2

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  • DOI: https://doi.org/10.1007/978-981-33-4214-9_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4213-2

  • Online ISBN: 978-981-33-4214-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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