Multi-objective Deployment of WSNs in Underground Sheltered Space

Liangtian Wan; Caiyun Wang; Lu Sun; Boyu Chen; Jibin Zheng; Xianpeng Wang

Quality, Reliability, Security and Robustness in Heterogeneous Systems. 19th EAI International Conference, QShine 2023, Shenzhen, China, October 8 – 9, 2023, Proceedings, Part I

Research Article

Multi-objective Deployment of WSNs in Underground Sheltered Space

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-031-65126-7_43,
    author={Liangtian Wan and Caiyun Wang and Lu Sun and Boyu Chen and Jibin Zheng and Xianpeng Wang},
    title={Multi-objective Deployment of WSNs in Underground Sheltered Space},
    proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Systems. 19th EAI International Conference, QShine 2023, Shenzhen, China, October 8 -- 9, 2023, Proceedings, Part I},
    proceedings_a={QSHINE},
    year={2024},
    month={8},
    keywords={Wireless Sensor Networks Deployment A geometry-based 3D signal propagation model Multi-objective evolutionary algorithms Underground sheltered space},
    doi={10.1007/978-3-031-65126-7_43}
}

Liangtian Wan
Caiyun Wang
Lu Sun
Boyu Chen
Jibin Zheng
Xianpeng Wang
Year: 2024
Multi-objective Deployment of WSNs in Underground Sheltered Space
QSHINE
Springer
DOI: 10.1007/978-3-031-65126-7_43

Liangtian Wan¹^,*, Caiyun Wang¹, Lu Sun², Boyu Chen³, Jibin Zheng⁴, Xianpeng Wang⁵

1: Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, School of Software, Dalian University of Technology
2: Department of Communication Engineering, Institute of Information Science Technology, Dalian Maritime University
3: School of Communications and Information Engineering
4: National Laboratory of Radar Signal Processing, Xidian University
5: State Key Laboratory of Marine Resource Utilization in South China Sea and School of Information and Communication Engineering, Hainan University

*Contact email: wanliangtian@dlut.edu.cn

Abstract

Given the increasing population, the underground spaces are widely used. The existing research on wireless sensor networks (WSNs) development has mainly focused on overground space; also, the existing work was based on an ideal deployment environment and simple sensor behaviour. As a consequence, they do not satisfy requirements for practical 3D environment. The 3D wireless sensor networks (WSNs) deployment has new difficulties in the underground space. The signal transmission is impacted by obstacles in the underground space. Thus, we propose a geometry-based 3D signal propagation model to calculate the signal path loss caused by obstacles. Then, taking both coverage and connectivity into account, we transform the WSNs deployment problem into a multi-objective optimization problem (MOP). Finally, we compare some state-of-the-art multi-objective evolutionary algorithms (MOEAs) for the WSNs deployment problem in underground sheltered space. By the experimental results, we optimize the multiobjective deployment problem of the WSNs in the underground sheltered space.

Keywords: Wireless Sensor Networks Deployment A geometry-based 3D signal propagation model Multi-objective evolutionary algorithms Underground sheltered space

Published: 2024-08-20
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-031-65126-7_43

Multi-objective Deployment of WSNs in Underground Sheltered Space

Abstract

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