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Dynamic energy-efficient surveillance routing in uncertain group-based industrial wireless sensor networks

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Abstract

Smart factories in harsh large-scale environments are achieved by installation of group-based industrial wireless sensor networks (GIWSNs), in which a group of sensors are deployed on each machine target, for security and saving deployment time. In GIWSNs, enormous data for production (e.g., 3D digital twin and automated optical inspection images) and surveillance is transmitted frequently among multiple machines, and consumes huge energy. Furthermore, a real-world factory whose radio environment is interfered by mobile devices is dynamic and uncertain. Therefore, this paper investigates reliable energy-efficient routing for surveillance in dynamic uncertain GIWSNs, and further proposes a fuzzy improved global-best harmony search approach, where improved operators are integrated to efficiently explore the search space locally and globally; and a fuzzy evaluation scheme is employed to address uncertain factors. Through simulation under various parameter settings, this approach can find reliable routing in dynamic environments, and shows high performance as compared with other approaches. In addition, this approach can always find the reliable surveillance routing under various data amounts, while activating fewer crucial sensors to effectively reduce energy consumption.

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Acknowledgements

This work has been supported in part by the Ministry of Science and Technology, Taiwan, under Grants MOST 109-2221-E-009-068-MY3, MOST 108-2628-E-009-008-MY3, and MOST 110-2622-E-A49-004.

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan

    Chun-Cheng Lin, Wen-Xuan Lin & Ke-Wen Lu

  2. Department of Business Administration, Asia University, Taichung, 413, Taiwan

    Chun-Cheng Lin

  3. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404, Taiwan

    Chun-Cheng Lin

  4. Department of Information Technology, Overseas Chinese University, Taichung, 40721, Taiwan

    Hui-Hsin Chin

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  1. Chun-Cheng Lin
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Correspondence to Hui-Hsin Chin.

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Lin, CC., Chin, HH., Lin, WX. et al. Dynamic energy-efficient surveillance routing in uncertain group-based industrial wireless sensor networks. Wireless Netw 28, 2597–2608 (2022). https://doi.org/10.1007/s11276-022-02984-0

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