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Using Simplified Slime Mould Algorithm for Wireless Sensor Network Coverage Problem

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Intelligent Computing Theories and Application (ICIC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12836))

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Abstract

Wireless sensor network (WSN) coverage control is a study of how to maximize the network coverage to provide reliable monitoring and tracking services with guaranteed quality of service. The application of optimization algorithm is helpful to effectively control the network nodes energy, improve the perceived quality of services, and extend the network survival time. This paper presents a simplified slime mould algorithm (SSMA) for optimization WSN coverage problem. We mainly conducted thirteen groups of WSNs coverage optimization experiments, and compared with several well-known metaheuristic algorithms. From the experimental results and Wilcoxon rank sum test results demonstrate that SSMA is generally competitive, outstanding performance and effectiveness.

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Acknowledgment

This work is supported by National Science Foundation of China under Grant 62066005, and by the Project of Guangxi Natural Science Foundation under Grants No. 2018GXNSFAA138146.

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Authors and Affiliations

  1. College of Artificial Intelligence, Guangxi University for Nationalities, Nanning, 530006, China

    Yuanye Wei, Yongquan Zhou, Qifang Luo & Jian Bi

  2. Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis, Nanning, 530006, China

    Yongquan Zhou & Qifang Luo

Authors
  1. Yuanye Wei
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  2. Yongquan Zhou
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  3. Qifang Luo
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  4. Jian Bi
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Corresponding author

Correspondence to Yongquan Zhou .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. University of Ulsan, Ulsan, Korea (Republic of)

    Kang-Hyun Jo

  3. Shenzhen University, Shenzhen, China

    Jianqiang Li

  4. Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia

    Valeriya Gribova

  5. Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

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Wei, Y., Zhou, Y., Luo, Q., Bi, J. (2021). Using Simplified Slime Mould Algorithm for Wireless Sensor Network Coverage Problem. In: Huang, DS., Jo, KH., Li, J., Gribova, V., Bevilacqua, V. (eds) Intelligent Computing Theories and Application. ICIC 2021. Lecture Notes in Computer Science(), vol 12836. Springer, Cham. https://doi.org/10.1007/978-3-030-84522-3_15

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  • DOI: https://doi.org/10.1007/978-3-030-84522-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84521-6

  • Online ISBN: 978-3-030-84522-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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