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Research on Charging of Sensors in WRSN

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

In WRSN, in order to minimize the energy consumption of the mobile charger on the road, this paper establishes an optimization model combined with the simulated annealing method to analyze and study the charging path planning of the mobile charger of WRSN, and gives a scientific and reasonable planning scheme.

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Author information

Authors and Affiliations

  1. Qingdao University of Technology, Qingdao, Shandong, China

    Wenjing Huo & Xiaorui Hao

Authors
  1. Wenjing Huo
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  2. Xiaorui Hao
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Corresponding author

Correspondence to Wenjing Huo .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Huo, W., Hao, X. (2021). Research on Charging of Sensors in WRSN. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_2

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