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Coverage Algorithm Based on Perceived Environment Around Nodes in Mobile Wireless Sensor Networks

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Abstract

Wireless sensor networks are usually deployed in harsh environments, remote locations and unmanned areas. Especially in the complex application environment, the optimization of node deployment strategy is the basic problem of wireless sensor network research. An efficient node deployment strategy can not only significantly reduce the redundancy and deployment cost of network nodes, but also improve network awareness, robustness and lifetime by improving the energy efficiency of nodes and balancing the load of data traffic. It is particularly important to ensure the effective implementation of subsequent network monitoring tasks and the quality of service, which has become a research hotspot and key issue. Aiming at the problem of blind spots and node redundancy in network coverage, a sensor node deployment algorithm based on perceptual environment is proposed. The simulation results show that the deployment method can effectively cover the monitoring area and is suitable for various network application environments.

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Data Availability

The data used to support the findings of this research are available from the corresponding author upon request.

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Acknowledgements

The author gratefully acknowledges the helpful comments and suggestions of the editors and reviewers, which have improved the article.

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The research is not supported by any funding.

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Authors and Affiliations

  1. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, Jiangsu, China

    Yixin Liu

  2. School of Information Technology, Luoyang Normal University, Luoyang, 471934, Henan, China

    Qiangyi Li

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  1. Yixin Liu
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  2. Qiangyi Li
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QL designed the research, analysed the data, and wrote the article.

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Correspondence to Qiangyi Li.

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Cite this article

Liu, Y., Li, Q. Coverage Algorithm Based on Perceived Environment Around Nodes in Mobile Wireless Sensor Networks. Wireless Pers Commun 128, 2725–2740 (2023). https://doi.org/10.1007/s11277-022-10067-8

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  • DOI: https://doi.org/10.1007/s11277-022-10067-8

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