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Article

A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters †

by
Shuo Li
1,*,
Tiancheng Guo
1,
Ran Mo
2,
Xiaoshuai Zhao
2,
Feng Zhou
1,
Weirong Liu
2 and
Jun Peng
2
1
School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
2
School of Computer Science and Engineering, Central South University, Changsha 410083, China
*
Author to whom correspondence should be addressed.
†
This paper is an extended version of paper published in Li, S.; Guo, T.; Mo, R.; Zhao, X.; Zhou, F.; Liu, W. An Escape Guidance Path Developing Method on Sparse Anchors for Underground Disaster Rescue. In Proceedings of the 28th International Symposium on Industrial Electronics (IEEE-ISIE 2019), Vancouver, BC, Canada, 12–14 June 2019.
Sensors 2020, 20(8), 2173; https://doi.org/10.3390/s20082173
Submission received: 19 February 2020 / Revised: 6 April 2020 / Accepted: 7 April 2020 / Published: 11 April 2020
(This article belongs to the Special Issue Advanced Approaches for Indoor Localization and Navigation)
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Abstract

A challenging rescue task for the underground disaster is to guide survivors in getting away from the dangerous area quickly. To address the issue, an escape guidance path developing method is proposed based on anisotropic underground wireless sensor networks under the condition of sparse anchor nodes. Firstly, a hybrid channel model was constructed to reflect the relationship between distance and receiving signal strength, which incorporates the underground complex communication characteristics, including the analytical ray wave guide model, the Shadowing effect, the tunnel size, and the penetration effect of obstacles. Secondly, a trustable anchor node selection algorithm with node movement detection is proposed, which solves the problem of high-precision node location in anisotropic networks with sparse anchor nodes after the disaster. Consequently, according to the node location and the obstacles, the optimal guidance path is developed by using the modified minimum spanning tree algorithm. Finally, the simulations in the 3D scene are conducted to verify the performance of the proposed method on the localization accuracy, guidance path effectiveness, and scalability.
Keywords: wireless sensor networks; indoor localization; guidance path; sparse anchor localization; disaster; anisotropic wireless sensor networks wireless sensor networks; indoor localization; guidance path; sparse anchor localization; disaster; anisotropic wireless sensor networks

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MDPI and ACS Style

Li, S.; Guo, T.; Mo, R.; Zhao, X.; Zhou, F.; Liu, W.; Peng, J. A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters. Sensors 2020, 20, 2173. https://doi.org/10.3390/s20082173

AMA Style

Li S, Guo T, Mo R, Zhao X, Zhou F, Liu W, Peng J. A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters. Sensors. 2020; 20(8):2173. https://doi.org/10.3390/s20082173

Chicago/Turabian Style

Li, Shuo, Tiancheng Guo, Ran Mo, Xiaoshuai Zhao, Feng Zhou, Weirong Liu, and Jun Peng. 2020. "A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters" Sensors 20, no. 8: 2173. https://doi.org/10.3390/s20082173

APA Style

Li, S., Guo, T., Mo, R., Zhao, X., Zhou, F., Liu, W., & Peng, J. (2020). A Rescue-Assistance Navigation Method by Using the Underground Location of WSN after Disasters. Sensors, 20(8), 2173. https://doi.org/10.3390/s20082173

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