Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

Computer Science-Based Decision Support System with Wireless Communication Equipment for Quick Rescue in Tourist Attractions

 2027

 Volume 36

Ling Li

School of Cultural Tourism, Jiangsu Vocational Institute of Commerce and Trade, Nanjing 211168, Jiangsu, China

Received: June 16, 2026
Accepted: July 24, 2026
Publication Date: September 27, 2026

上傳圖片

Wireless communication equipment in the construction system of tourist attractions

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: BibTeX | http://dx.doi.org/10.6180/jase.202701_36.002

Download PDF

Large areas, difficult terrain, and dispersed visitors of tourist destinations make fast rescue operations a challenging task. The study proposes a decision support system incorporated with wireless communication technology via public cloud IoT devices. The technique is based on Independent Component Analysis (ICA) to carry out the signals separation and Recursive Least Squares (RLS) algorithm to perform the channel estimation. The five-year study that compared the work of two tourist resorts (A: traditional rescue techniques, and B: proposed system) involving 30 tourists each has proven an increase in visitor satisfaction in case B of 10.17% and improvements in the level of completeness and effectiveness of rescue operations while area A has decreased in this regard. The findings of the research demonstrate a significant improvement in the efficiency of rescue operations, visitor safety, and resource management as a result of the implementation of the system that has been described in the article.

Keywords: Rapid rescue, Wireless Communication Equipment, Decision support system, Public Cloud IoT, Independent Component Analysis, Recursive Least Squares

  1. [1] S. H. Alsamhi, M. S. Ansari, O. Ma, F. Almalki, and S. K. Gupta, (2019) “Tethered balloon technology in design solutions for rescue and relief team emergency communication services” Disaster Medicine and Public Health Preparedness 13(2): 203-210. DOI: https://doi.org/10.1017/dmp.2018.19.
  2. [2] A. A. R. Alsaeedy and E. K. P. Chong, (2020) “5G and UAVs for mission-critical communications: Swift network recovery for search-and-rescue operations” Mobile Networks and Applications 25(5): 2063-2081. DOI: https://doi.org/10.1007/s11036-020-01542-2.
  3. [3] I. B. Oluwafemi and J. A. Enoch, (2025) “Improving Disaster Response through ICA-Bagged Ensemble Learning for Non-Line-of-Sight Signal Classification in SAR” NIPES Journal of Science and Technology Research 7(1): 79-84. DOI: https://doi.org/10.37933/nipes/7.4.2025.SI10.
  4. [4] E. A. Jiya, I. B. Oluwafemi, and E. S. A. Ajisegiri, (2025) “Optimized human detection in NLOS scenarios using hybrid dimensionality reduction and SVM with UWB signals” TELKOMNIKA (Telecommunication Computing Electronics and Control) 23(5): 1291-1303. DOI: https://doi.org/10.12928/telkomnika.v2315.26738.
  5. [5] L. Wang, J. Zhang, J. Chuan, R. Ma, and A. Fei, (2020) “Edge intelligence for mission cognitive wireless emergency networks” IEEE Wireless Communications 27(4): 103-109. DOI: https://doi.org/10.1109/MWC.001.1900418.
  6. [6] M. Wzorek, C. Berger, and P. Doherty, (2021) “Router and gateway node placement in wireless mesh networks for emergency rescue scenarios” Autonomous Intelligent Systems 1(1): 14. DOI: https://doi.org/10.1007/s43684-021-00012-0.
  7. [7] T. O. Olasupo, (2019) “Wireless communication modeling for the deployment of tiny lot devices in rocky and mountainous environments” IEEE Sensors Letters 3(7): 1-4. DOI: https://doi.org/10.1109/LSENS.2019.2918331.
  8. [8] K. Kavitha, R. V. S. Lalitha, J. B. Latha, and T. V. Suneetha, (2019) “Data offloading for effective rescue operations during fire disaster management” International Journal of Engineering and Advanced Technology 9(1): 5319-5321. DOI: https://doi.org/10.35940/ijeat.A2965.109119.
  9. [9] M. Towliat et al., (2022) “Enhanced accuracy of self-interference cancellation in underwater acoustic full-duplex communication” 2022 IEEE Military Communications Conference (MILCOM): 781-786. DOI: https://doi.org/10.1109/MILCOM55135.2022.10017822.