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Critical Value Aware Data Acquisition Strategy in Wireless Sensor Networks

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Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

Abstract

To monitor the physical world, Equi-Frequency Sampling (EFS) methods are widely applied for data acquisition in sensor networks. Due to the noise and inherent uncertainty of the environment, EFS based data acquisition may result in misconception to the physical world, and high frequency scheme produces massive sensed data, which consumes substantial cost for transmission. This paper proposes a novel sensed data model. Based on maximum likelihood estimation, the model can minimize measurement error. It is proved that the proposed model is asymptotic unbiased. Furthermore, this paper proposes Model based Adaptive Data Collection (MADC) Algorithm and designs a distributed lightweight computation algorithm named Distributed Adaptive Data Collection Algorithm (DADC). Based on the error of prediction, both algorithms can adaptively adjust the cycle of data collection. Performance evaluation verifies that the proposed algorithms have high performance in terms of accuracy and effectiveness.

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Acknowledgments

This work is supported in part by the National Natural Science Foundation of China (61602084, 61502099 61572104), the Post-Doctoral Science Foundation of China (2016M600202), the Doctoral Scientific Research Foundation of Liaoning Province (201601041).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, China

    Ran Bi & Guozhen Tan

  2. School of Computer Science and Technology, Southeast University, Nanjing, 211189, China

    Xiaolin Fang

Authors
  1. Ran Bi
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  2. Guozhen Tan
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  3. Xiaolin Fang
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Corresponding author

Correspondence to Ran Bi .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Harbin Engineering University, Harbin, China

    Qilong Han

  3. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  4. Northeast Forestry University, Harbin, China

    Weipeng Jing

  5. Huaihua University, Huaihua, Hunan, China

    Xiaoning Peng

  6. Sciences of Country Tripod Institute of Data Science, Harbin, China

    Zeguang Lu

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© 2017 Springer Nature Singapore Pte Ltd.

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Bi, R., Tan, G., Fang, X. (2017). Critical Value Aware Data Acquisition Strategy in Wireless Sensor Networks. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_13

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  • DOI: https://doi.org/10.1007/978-981-10-6388-6_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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