Prioritization of autonomous marine vehicle communication technologies using the VIKOR

I tiakina i:
Ngā taipitopito rārangi puna kōrero
I whakaputaina i:Applied Water Science vol. 15, no. 12 (Dec 2025), p. 296
Kaituhi matua: Le, Yang
Ētahi atu kaituhi: Alam, Mohammad Mahtab, Shafieezadeh, M. Mehdi
I whakaputaina:
Springer Nature B.V.
Ngā marau:
Urunga tuihono:Citation/Abstract
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Whakarāpopotonga:Reliable and efficient communication technologies are essential for the effective operation of autonomous marine vehicles (AMVs) in harsh and dynamic environments. This study evaluated five communication technology alternatives: Satellite, Radio Frequency (RF), Acoustic, Optical, and Hybrid Systems using the VIKOR method, a robust multi-criteria decision-making (MCDM) technique. The evaluation was based on expert-derived assessments across five key criteria: transmission range, data transfer rate, reliability, environmental adaptability, and cost efficiency. The results revealed that Hybrid Systems achieved the lowest compromise index (Q = 0.28), indicating the most balanced and robust performance. Acoustic communication followed closely with a Q value of 0.36, demonstrating strong adaptability and reliability, especially in underwater applications. Satellite (Q = 0.44) and RF (Q = 0.49) technologies occupied intermediate ranks, showing potential in specific scenarios depending on coverage and range requirements. Optical communication, with a Q value of 0.61, consistently ranked last due to its high sensitivity to environmental conditions, such as turbidity, and its limited range. Sensitivity analysis conducted by varying the decision-making parameter υ from 0.3 to 0.7 confirmed the robustness of the results, with Hybrid Systems consistently maintaining the top position. These findings offer clear, data-driven guidance for stakeholders in selecting communication systems that ensure resilient and efficient AMV operations across various maritime missions.
ISSN:2190-5487
2190-5495
DOI:10.1007/s13201-025-02652-6
Puna:Publicly Available Content Database