# Best-Suited Communication Technology for Maritime Signaling Facilities: A Literature Review
## 3 Results and Discussion
### Economic Aspect of Using Communication Technologies  
Consistent investments in research and development aimed at improving the efficiency of communication technology result in a wealth of theoretical knowledge and various engineering solutions [32; 81]. [PERSON] et al., 2016 [82], emphasized that the economic perspective on communication technology development has gained significant attention due to its role and can be categorized into three groups for practicality: cost determination based on economic concepts, theoretical concepts, and cost determination through optimization. Determining costs based on economic concepts involves setting costs according to supply and demand, cost-benefit analysis, and market structures. Theoretical concepts apply economic theories like game theory, utility theory, and elasticity of demand to analyze pricing strategies and consumer behavior. Cost determination through optimization utilizes mathematical and computational techniques such as linear programming, dynamic pricing algorithms, and machine learning to optimize pricing strategies for maximum profit and adapt to market changes. However, the economic aspect of using communication technologies should not be viewed solely from a commercial perspective. The costs incurred while establishing communication with maritime signaling facilities often serve the interest of public safety and navigation security at sea.  
In this paper, the importance of the financial cost incurred during the use of each technology is recognized and analyzed. The results of the analysis concerning each communication technology were categorized as \"low cost\" (L) or \"high cost\" (H), which were incurred during its use. Papers in which cost-level data were not recorded (marked as \"n/a\") were also considered in the analysis. Table 5 presents the cost analysis results and the corresponding paper references.  
From Table 6, analyzing the selected papers, it can be inferred that the highest economic cost was recorded when using GSM communication technology. The lowest economic cost was observed when using LoRa WAN communication technology. The analyzed papers did not explicitly state the economic cost of MaxStream communication technology.  
The unavailability of specific numerical values describing \"H\" and \"L\" is present, similar to the section on electrical power consumption, which also represents a limitation in the analyzed papers. Additionally, the financial cost was not addressed in seven analyzed papers (21.87%). It is important to notice that the financial cost of communication technology is an important aspect of understanding its impact and feasibility. Considering costs makes it possible to assess the economic viability and sustainability of implementing these technologies.  
By observing the conducted analysis, it is evident that using \"L\" and \"H\" to represent power consumption levels without specific numerical values does present a limitation in the analyzed papers. Without specific values, it becomes challenging to quantify and compare the power consumption across different technologies precisely. By incorporating specific numerical values, the analysis can provide a more comprehensive understanding of the power consumption patterns and enable more precise comparisons and conclusions to be drawn. To avoid these limitations, it is necessary to incorporate standardized measurement methods and utilize machine learning and other analytical techniques to predict system performance under various conditions. We believe that these steps would significantly improve the quality and reliability of future research in this field.