Content area
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 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
Adaptability;
Sensitivity analysis;
Multiple criterion;
Communication technology;
Parameter sensitivity;
Turbidity;
Reliability;
Questionnaires;
Environmental conditions;
Satellites;
Decision support systems;
Decision making;
Telecommunications;
Marine technology;
Robustness;
Efficiency;
Autonomous vehicles;
Multiple criteria decision making;
Communications systems;
Power supply;
Data collection;
Hybrid systems;
Acoustics;
Radio frequency
1 Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (GRID:grid.453246.2) (ISNI:0000 0004 0369 3615)
2 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)
3 Islamic Azad University, Department of Chemical Engineering, Shiraz, Iran (GRID:grid.449257.9) (ISNI:0000 0004 0494 2636)