Content area

Abstract

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.

Details

1009240
Title
Prioritization of autonomous marine vehicle communication technologies using the VIKOR
Author
Le, Yang 1 ; Alam, Mohammad Mahtab 2 ; Shafieezadeh, M. Mehdi 3 

 Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (GRID:grid.453246.2) (ISNI:0000 0004 0369 3615) 
 King Khalid University, Department of Basic Medical Sciences, College of Applied Medical Science, Abha, Saudi Arabia (GRID:grid.412144.6) (ISNI:0000 0004 1790 7100) 
 Islamic Azad University, Department of Chemical Engineering, Shiraz, Iran (GRID:grid.449257.9) (ISNI:0000 0004 0494 2636) 
Publication title
Volume
15
Issue
12
Pages
296
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
Heidelberg
Country of publication
Netherlands
Publication subject
ISSN
21905487
e-ISSN
21905495
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-12
Milestone dates
2025-09-23 (Registration); 2025-05-16 (Received); 2025-09-03 (Accepted)
Publication history
 
 
   First posting date
12 Nov 2025
ProQuest document ID
3271247618
Document URL
https://www.proquest.com/scholarly-journals/prioritization-autonomous-marine-vehicle/docview/3271247618/se-2?accountid=208611
Copyright
© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-12
Database
ProQuest One Academic