## 3 Criteria and Dataset Specification
This means that the numberof devices added to a network topology needs to be monitored carefully to make sure that the network resources are not stretched beyond their limit. Point-to-point (P2P) topology is not scalable, whereas point-to-multipoint (P2M) and multipoint-to-multipoint (M2M) are considered scalable. The ring topology raises scalability concerns, as the bandwidth is shared by all devices within the network. A star and mesh topology network is considered scalable, as network nodes can be added with minimal disruption. * Line-of-Sight (LoS) interference, measured in terms of percentage in this research, refers to the setting when the transmit and receive nodes are not in view of each other due to the presence of obstacles between them. A higher percentage is given to the wired technologies than to the wireless technologies due to the latter's reliability against LoS interference. The reliability of wireless technology is lower than wired technology, taking into consideration the example of Urban (City): high density with buildings, Suburban (Coastal and Plains): higher than Urban and Rural because there are no or few LOS interferences due to the wide area and lower density (buildings, trees), Rural (Forestry): high density of trees and Rural (Mountains): slightly lower considering lower density of trees. * Interference refers to spectrum interference, measured in percentage in this research. For wired technology, the assumption is that the interference is lower than the wireless technology. To the best of our knowledge, wired technology's only source of interference is interference from other mediums. Additionally, it is expected that there will be less interference in wired technologies as they are mostly buried underground. The terrain factor affects interference in wireless technology, especially because of the user density in a particular area. For example, in urban areas (cities), the interference is expected to be the highest compared to other areas due to the high density of users. The process for ML dataset creation starts with identifying the technical criteria of the proposed wired and wireless communication technologies, a visualization of the created dataset is shown in Table 2.  
These technical criteria were chosen from various literature reviews [4; 5; 6; 7; 8; 9; 10; 11; 12; 13; 14; 15] and surveys that are related to the possible communication technologies and were summarised in Table 3. These criteria are deemed to be crucial and fit with the purpose of this study. Each criterion was chosen based on the applicability, the general usage and how can it be implemented in various areas, such as urban, suburban and rural. Each criterion has different characteristics, for example, for distance, each area has different length of coverage. All of these factors were considered and examined to ensure that the data creation process was smooth, simple and straightforward. From the criteria summarized in the Table 3, a total of 880 lines of communication technology data were created using Microsoft Excel. This dataset served as a training input for the ML models in the RapidMiner software, in which the performance of each ML model was evaluated and analysed. The next section will describe how the dataset was processed using the RapidMiner software. Figure 1: The methodology of this research.